Instructions to use harish/AStitchInLanguageModels-Task2_PT_mBERTTokenizedSelectReplacePreTrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/AStitchInLanguageModels-Task2_PT_mBERTTokenizedSelectReplacePreTrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="harish/AStitchInLanguageModels-Task2_PT_mBERTTokenizedSelectReplacePreTrain")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("harish/AStitchInLanguageModels-Task2_PT_mBERTTokenizedSelectReplacePreTrain") model = AutoModelForMaskedLM.from_pretrained("harish/AStitchInLanguageModels-Task2_PT_mBERTTokenizedSelectReplacePreTrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from harish/AStitchInLanguageModels-Task2_PT_mBERTTokenizedSelectReplacePreTrain: direct link, hf CLI and curl.
- Browser
- Download file 712 MB
-
https://huggingface.co/harish/AStitchInLanguageModels-Task2_PT_mBERTTokenizedSelectReplacePreTrain/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://harish/AStitchInLanguageModels-Task2_PT_mBERTTokenizedSelectReplacePreTrain/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/harish/AStitchInLanguageModels-Task2_PT_mBERTTokenizedSelectReplacePreTrain/resolve/main/pytorch_model.bin
712 MB
- Xet hash:
- c7be43b40de1702d78ec2ad55300ed043977187efd66719250a1844727117a45
- Size of remote file:
- 712 MB
- SHA256:
- d6a4ed78ee8fa1a3fbfbdfcab63f386bf4810c58ebafab6b15f4a4715d2a8628
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