Instructions to use harish/AStitchInLanguageModels-Task2_PT_SentTransSelectReplacePreTrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/AStitchInLanguageModels-Task2_PT_SentTransSelectReplacePreTrain with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/AStitchInLanguageModels-Task2_PT_SentTransSelectReplacePreTrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
AStitchInLanguageModels-Task2_PT_SentTransSelectReplacePreTrain / 0_Transformer /sentence_bert_config.json
Download 0_Transformer/sentence_bert_config.json from harish/AStitchInLanguageModels-Task2_PT_SentTransSelectReplacePreTrain: direct link, hf CLI and curl.
- Browser
- Download file 54 Bytes
-
https://huggingface.co/harish/AStitchInLanguageModels-Task2_PT_SentTransSelectReplacePreTrain/resolve/main/0_Transformer/sentence_bert_config.json
- Command line
-
hf download hf://harish/AStitchInLanguageModels-Task2_PT_SentTransSelectReplacePreTrain/0_Transformer/sentence_bert_config.json
-
curl -L -o sentence_bert_config.json https://huggingface.co/harish/AStitchInLanguageModels-Task2_PT_SentTransSelectReplacePreTrain/resolve/main/0_Transformer/sentence_bert_config.json
54 Bytes
| { | |
| "max_seq_length": null, | |
| "do_lower_case": false | |
| } |