Instructions to use subbareddyoota/ltrc-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subbareddyoota/ltrc-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="subbareddyoota/ltrc-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("subbareddyoota/ltrc-roberta") model = AutoModelForMaskedLM.from_pretrained("subbareddyoota/ltrc-roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 693ddc71a2736ca4ae0ecb48c6746e0334f797367a655eb88d144d1ff84afc59
- Size of remote file:
- 499 MB
- SHA256:
- 07a9f3a666c800d7e349b4cc6c03fd02ca3241fefba24650867431c825294405
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