Instructions to use harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned / 0_Transformer /special_tokens_map.json
Download 0_Transformer/special_tokens_map.json from harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned: direct link, hf CLI and curl.
- Browser
- Download file 112 Bytes
-
https://huggingface.co/harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned/resolve/main/0_Transformer/special_tokens_map.json
- Command line
-
hf download hf://harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned/0_Transformer/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned/resolve/main/0_Transformer/special_tokens_map.json
112 Bytes
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"} |