Initial commit

README.md

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+---
+language: "en"
+tags:
+- grammar 
+- text-generation
+license: "CC BY-NC-SA 4.0"
+datasets:
+- jfleg
+
+---
+
+# T5 Grammar Correction 
+
+This model generates a revised version of inputted text with the goal of containing fewer grammatical errors. 
+It was trained with [Happy Transformer](https://github.com/EricFillion/happy-transformer)
+using a dataset called [JFLEG](https://arxiv.org/abs/1702.04066). 
+
+## Usage 
+
+`pip install happytransformer `
+
+```python
+from happytransformer import HappyTextToText
+
+happy_tt = HappyTextToText("T5", "vennify/t5-base-grammar-correction")
+
+args = TTSettings(num_beams=5, min_length=1)
+
+result = happy_tt.generate_text("This sentences has has bads grammar.", args=args)
+
+print(result.text) # This sentence has bad grammar.
+
+
+```

config.json

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+{
+  "_name_or_path": "t5-base",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 3072,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "relu",
+  "gradient_checkpointing": false,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.9.2",
+  "use_cache": true,
+  "vocab_size": 32128
+}

pytorch_model.bin

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special_tokens_map.json

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spiece.model

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tokenizer_config.json

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