Instructions to use subbareddyoota/ltrc-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subbareddyoota/ltrc-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="subbareddyoota/ltrc-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("subbareddyoota/ltrc-distilbert") model = AutoModelForMaskedLM.from_pretrained("subbareddyoota/ltrc-distilbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 718c6b14f7a146f968666f8088dd7e831ffb85077984ea9b85bbcab64877f6e2
- Size of remote file:
- 527 MB
- SHA256:
- dcf6f10b953be4082193995e89c65863c4e137acea1c2828cf561c9c864022da
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