openvino-ci
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Browse files- README.md +55 -0
- config.json +29 -0
- generation_config.json +6 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +219 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +943 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +214 -0
README.md
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---
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license: apache-2.0
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license_link: https://choosealicense.com/licenses/apache-2.0/
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---
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# pythia-1.4b-fp16-ov
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* Model creator: [Eleutherai](https://huggingface.co/EleutherAI)
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* Original model: [pythia-1.4b](https://huggingface.co/EleutherAI/pythia-1.4b)
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## Description
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## Compatibility
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The provided OpenVINO™ IR model is compatible with:
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* OpenVINO version 2024.1.0 and higher
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* Optimum Intel 1.16.0 and higher
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## Running Model Inference
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1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
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```
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pip install optimum[openvino]
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```
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2. Run model inference:
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```
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from transformers import AutoTokenizer
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from optimum.intel.openvino import OVModelForCausalLM
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model_id = "OpenVINO/pythia-1.4b-fp16-ov"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = OVModelForCausalLM.from_pretrained(model_id)
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inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
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outputs = model.generate(**inputs, max_length=200)
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text = tokenizer.batch_decode(outputs)[0]
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print(text)
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```
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For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide.html).
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## Limitations
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Check the original model card for [limitations]().
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## Legal information
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The original model is distributed under [apache-2.0](https://choosealicense.com/licenses/apache-2.0/) license. More details can be found in [original model card](https://huggingface.co/EleutherAI/pythia-1.4b).
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## Disclaimer
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Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.
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config.json
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{
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"_name_or_path": "EleutherAI/pythia-1.4b",
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"architectures": [
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"GPTNeoXForCausalLM"
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],
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"attention_bias": true,
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"classifier_dropout": 0.1,
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"eos_token_id": 0,
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"hidden_act": "gelu",
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"hidden_dropout": 0.0,
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 20480,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 2048,
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"model_type": "gpt_neox",
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"num_attention_heads": 40,
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"num_hidden_layers": 36,
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"rope_scaling": null,
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"rotary_emb_base": 10000,
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"rotary_pct": 0.25,
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"tie_word_embeddings": false,
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"transformers_version": "4.42.4",
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"use_cache": true,
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"use_parallel_residual": true,
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"vocab_size": 50688
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"transformers_version": "4.42.4"
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}
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openvino_detokenizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:07cc9ef2460d39577b5a80e2b379766a90187c17b436a2e530467180319bc312
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size 558446
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openvino_detokenizer.xml
ADDED
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<?xml version="1.0"?>
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<net name="detokenizer" version="11">
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<layers>
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<layer id="0" name="Parameter_339824" type="Parameter" version="opset1">
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<data shape="?,?" element_type="i64" />
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<output>
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<port id="0" precision="I64" names="Parameter_339824">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Convert_339840" type="Convert" version="opset1">
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<data destination_type="i32" />
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<input>
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<port id="0" precision="I64">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="2" name="Constant_339722" type="Const" version="opset1">
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<data element_type="u8" shape="558397" offset="0" size="558397" />
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<output>
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<port id="0" precision="U8">
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<dim>558397</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="StringTensorUnpack_339723" type="StringTensorUnpack" version="extension">
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<data mode="begins_ends" />
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<input>
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<port id="0" precision="U8">
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<dim>558397</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="3" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="VocabDecoder_339825" type="VocabDecoder" version="extension">
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<data skip_tokens="0, 1" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="3" precision="U8">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="4" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="5" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="6" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="7" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="8" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="CharsToBytes_339826" type="CharsToBytes" version="extension">
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="U8">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="5" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="6" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="7" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="6" name="Constant_339828" type="Const" version="opset1">
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<data element_type="u8" shape="47" offset="558397" size="47" />
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<output>
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<port id="0" precision="U8">
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<dim>47</dim>
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</port>
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</output>
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</layer>
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<layer id="7" name="Constant_339830" type="Const" version="opset1">
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<data element_type="u8" shape="2" offset="558444" size="2" />
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<output>
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<port id="0" precision="U8">
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<dim>2</dim>
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</port>
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</output>
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</layer>
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<layer id="8" name="RegexNormalization_339831" type="RegexNormalization" version="extension">
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<data global_replace="true" />
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<input>
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<port id="0" precision="I32">
|
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<dim>-1</dim>
|
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</port>
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<port id="1" precision="I32">
|
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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<dim>-1</dim>
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</port>
|
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<port id="3" precision="U8">
|
149 |
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<dim>47</dim>
|
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</port>
|
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<port id="4" precision="U8">
|
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<dim>2</dim>
|
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</port>
|
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</input>
|
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<output>
|
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<port id="5" precision="I32">
|
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<dim>-1</dim>
|
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</port>
|
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<port id="6" precision="I32">
|
160 |
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<dim>-1</dim>
|
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</port>
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<port id="7" precision="U8">
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<dim>-1</dim>
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</port>
|
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</output>
|
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</layer>
|
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<layer id="9" name="StringTensorPack_339832" type="StringTensorPack" version="extension">
|
168 |
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<data mode="begins_ends" />
|
169 |
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<input>
|
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<port id="0" precision="I32">
|
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
|
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<dim>-1</dim>
|
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</port>
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<port id="2" precision="U8">
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<dim>-1</dim>
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</port>
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</input>
|
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<output>
|
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<port id="3" precision="STRING" names="string_output">
|
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="10" name="Result_339833" type="Result" version="opset1">
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<input>
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<port id="0" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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</layer>
|
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</layers>
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<edges>
|
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<edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
|
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<edge from-layer="1" from-port="1" to-layer="4" to-port="0" />
|
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<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
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198 |
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|
217 |
+
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|
218 |
+
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|
219 |
+
</net>
|
openvino_model.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:557212ace618dd65406a08f4f7d59313aaee3704862e49aa7d424a85f35317ec
|
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size 23692059050
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openvino_model.xml
ADDED
The diff for this file is too large to render.
See raw diff
|
|
openvino_tokenizer.bin
ADDED
@@ -0,0 +1,3 @@
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|
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1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:f507575758bf17a74ab19d816a859bd9aaa206e9eecb4caf6eb6b8aab0a650c2
|
3 |
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size 1166215
|
openvino_tokenizer.xml
ADDED
@@ -0,0 +1,943 @@
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|
1 |
+
<?xml version="1.0"?>
|
2 |
+
<net name="tokenizer" version="11">
|
3 |
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<layers>
|
4 |
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<layer id="0" name="Parameter_339634" type="Parameter" version="opset1">
|
5 |
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<data shape="?" element_type="string" />
|
6 |
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<output>
|
7 |
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<port id="0" precision="STRING" names="Parameter_339634">
|
8 |
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<dim>-1</dim>
|
9 |
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|
10 |
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</output>
|
11 |
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</layer>
|
12 |
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<layer id="1" name="Constant_339641" type="Const" version="opset1">
|
13 |
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<data element_type="i64" shape="" offset="0" size="8" />
|
14 |
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<output>
|
15 |
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<port id="0" precision="I64" />
|
16 |
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</output>
|
17 |
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</layer>
|
18 |
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<layer id="2" name="StringTensorUnpack_339635" type="StringTensorUnpack" version="extension">
|
19 |
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<data mode="begins_ends" />
|
20 |
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<input>
|
21 |
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<port id="0" precision="STRING">
|
22 |
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<dim>-1</dim>
|
23 |
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</port>
|
24 |
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</input>
|
25 |
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<output>
|
26 |
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<port id="1" precision="I32">
|
27 |
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<dim>-1</dim>
|
28 |
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</port>
|
29 |
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<port id="2" precision="I32">
|
30 |
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<dim>-1</dim>
|
31 |
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</port>
|
32 |
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<port id="3" precision="U8">
|
33 |
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<dim>-1</dim>
|
34 |
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</port>
|
35 |
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</output>
|
36 |
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</layer>
|
37 |
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<layer id="3" name="NormalizeUnicode_339636" type="NormalizeUnicode" version="extension">
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38 |
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<data normalization_form="NFC" />
|
39 |
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<input>
|
40 |
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<port id="0" precision="I32">
|
41 |
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<dim>-1</dim>
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42 |
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</port>
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43 |
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44 |
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<dim>-1</dim>
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45 |
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</port>
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46 |
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47 |
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<dim>-1</dim>
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48 |
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49 |
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</input>
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50 |
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<output>
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51 |
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52 |
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<dim>-1</dim>
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53 |
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</port>
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54 |
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55 |
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<dim>-1</dim>
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56 |
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</port>
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57 |
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<port id="5" precision="U8">
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58 |
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<dim>-1</dim>
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59 |
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</port>
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60 |
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</output>
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61 |
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</layer>
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62 |
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<layer id="4" name="ShapeOf_339637" type="ShapeOf" version="opset3">
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63 |
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<data output_type="i64" />
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64 |
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<input>
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65 |
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<port id="0" precision="I32">
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66 |
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<dim>-1</dim>
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67 |
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</port>
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68 |
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</input>
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69 |
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<output>
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70 |
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<port id="1" precision="I64">
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71 |
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|
939 |
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|
940 |
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|
941 |
+
<eos_token_id value="0" />
|
942 |
+
</rt_info>
|
943 |
+
</net>
|
special_tokens_map.json
ADDED
@@ -0,0 +1,23 @@
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|
1 |
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{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
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|
10 |
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|
11 |
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|
12 |
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|
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|
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|
15 |
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|
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|
17 |
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|
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|
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|
20 |
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|
21 |
+
"single_word": false
|
22 |
+
}
|
23 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,214 @@
|
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|
1 |
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|
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|
3 |
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|
4 |
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|
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|
6 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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