Instructions to use UGARIT/grc-alignment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UGARIT/grc-alignment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="UGARIT/grc-alignment")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("UGARIT/grc-alignment") model = AutoModelForMaskedLM.from_pretrained("UGARIT/grc-alignment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b10904d4e85569b3edac49bf68e95fc7a6a0be03e6f2ad972bec417f9ae3cefd
- Size of remote file:
- 1.9 kB
- SHA256:
- ef5c901347e4d95390475ca86effc4104a20897e853817c5b47fc517c12e504f
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