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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bfbef153bb1cdda38a6ddda67716deda27ae300a030185946e67bd547aa62d8
- Size of remote file:
- 263 MB
- SHA256:
- af24fa691103fa4fecc6b5564865a9f3c08afc02013fa14efcaa1d5e2ac266a0
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