Instructions to use harish/AStitchInLanguageModels-Task2_PT_SentTransALLReplacePreTrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/AStitchInLanguageModels-Task2_PT_SentTransALLReplacePreTrain with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/AStitchInLanguageModels-Task2_PT_SentTransALLReplacePreTrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 0_Transformer/tokenizer_config.json from harish/AStitchInLanguageModels-Task2_PT_SentTransALLReplacePreTrain: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/harish/AStitchInLanguageModels-Task2_PT_SentTransALLReplacePreTrain/resolve/main/0_Transformer/tokenizer_config.json
- Command line
-
hf download hf://harish/AStitchInLanguageModels-Task2_PT_SentTransALLReplacePreTrain/0_Transformer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/harish/AStitchInLanguageModels-Task2_PT_SentTransALLReplacePreTrain/resolve/main/0_Transformer/tokenizer_config.json
623 Bytes
| {"do_lower_case": false, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "truncation": true, "model_max_length": 512, "special_tokens_map_file": null, "tokenizer_file": "/rds/homes/t/tayyarmh/.cache/huggingface/transformers/46880f3b0081fda494a4e15b05787692aa4c1e21e0ff2428ba8b14d4eda0784d.b33e51591f94f17c238ee9b1fac75b96ff2678cbaed6e108feadb3449d18dc24", "name_or_path": "output-no-git/NEW/PT/TransformerModels/pt-e5-all/0_Transformer", "max_length": 510} |