Instructions to use MustEr/rager with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MustEr/rager with Transformers:
# Load model directly from transformers import AutoTokenizer, RagSequenceForGeneration tokenizer = AutoTokenizer.from_pretrained("MustEr/rager") model = RagSequenceForGeneration.from_pretrained("MustEr/rager", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03d2dc814eb3c85f9acaf2ff2c5bb925c319f1032f61fca6f20ec2054839ef56
- Size of remote file:
- 548 MB
- SHA256:
- 7c5d3f4b8b76583b422fcb9189ad6c89d5d97a094541ce8932dce3ecabde1421
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