Instructions to use climb-mao/climb-roberta_pre_layer_norm-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climb-mao/climb-roberta_pre_layer_norm-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="climb-mao/climb-roberta_pre_layer_norm-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("climb-mao/climb-roberta_pre_layer_norm-model") model = AutoModel.from_pretrained("climb-mao/climb-roberta_pre_layer_norm-model") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": true, | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "mask_token": { | |
| "__type": "AddedToken", | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "name_or_path": "cambridge-climb/CamBabyTokenizer-8192", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "RobertaTokenizer", | |
| "trim_offsets": true, | |
| "unk_token": "<unk>" | |
| } | |