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:
- 8830dac47e1be8cb905011e17a29400dfe2f5b009f5f9ae82fa0348208112c0d
- Size of remote file:
- 1.12 GB
- SHA256:
- 08a03365dc2184fd9dfaca4c5a405e00e7bc2dde3916263bee5be58c0a77673a
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