Instructions to use patrickvonplaten/rag-sequence-gen-prev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/rag-sequence-gen-prev with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/rag-sequence-gen-prev") model = AutoModelForSeq2SeqLM.from_pretrained("patrickvonplaten/rag-sequence-gen-prev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b76080dd8a98d11d18c792b9ec35fc8d9088234ea3adf40010264d86600786a
- Size of remote file:
- 1.63 GB
- SHA256:
- 467894f4b199af741f12c90b228cd4bfc9d2b63c53e65ec2ceae5cdc4ab401b0
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