Instructions to use harish/AStitchInLanguageModels-Task2_EN_BERTTokenizedSelectReplacePreTrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/AStitchInLanguageModels-Task2_EN_BERTTokenizedSelectReplacePreTrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="harish/AStitchInLanguageModels-Task2_EN_BERTTokenizedSelectReplacePreTrain")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("harish/AStitchInLanguageModels-Task2_EN_BERTTokenizedSelectReplacePreTrain") model = AutoModelForMaskedLM.from_pretrained("harish/AStitchInLanguageModels-Task2_EN_BERTTokenizedSelectReplacePreTrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from harish/AStitchInLanguageModels-Task2_EN_BERTTokenizedSelectReplacePreTrain: direct link, hf CLI and curl.
- Browser
- Download file 2.35 kB
-
https://huggingface.co/harish/AStitchInLanguageModels-Task2_EN_BERTTokenizedSelectReplacePreTrain/resolve/main/training_args.bin
- Command line
-
hf download hf://harish/AStitchInLanguageModels-Task2_EN_BERTTokenizedSelectReplacePreTrain/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/harish/AStitchInLanguageModels-Task2_EN_BERTTokenizedSelectReplacePreTrain/resolve/main/training_args.bin
2.35 kB
- Xet hash:
- 0b35749ba2986a627e7158634cdbec9b2babdaf174807bdf497e0b79d0a54781
- Size of remote file:
- 2.35 kB
- SHA256:
- 644259b6e1c4677050eb711d855dff910fe9eae8b8c0c81e1ffffccd3ca2cd20
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.