Instructions to use prxy5605/9c837f73-e4ce-4f87-b8a0-c0993f304d7c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/9c837f73-e4ce-4f87-b8a0-c0993f304d7c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-410m-deduped") model = PeftModel.from_pretrained(base_model, "prxy5605/9c837f73-e4ce-4f87-b8a0-c0993f304d7c") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from prxy5605/9c837f73-e4ce-4f87-b8a0-c0993f304d7c: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
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https://huggingface.co/prxy5605/9c837f73-e4ce-4f87-b8a0-c0993f304d7c/resolve/d1a7e3455357f7fec0c3e2bf06217ecb1f91feb3/tokenizer.json
- Command line
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hf download hf://prxy5605/9c837f73-e4ce-4f87-b8a0-c0993f304d7c@d1a7e3455357f7fec0c3e2bf06217ecb1f91feb3/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/prxy5605/9c837f73-e4ce-4f87-b8a0-c0993f304d7c/resolve/d1a7e3455357f7fec0c3e2bf06217ecb1f91feb3/tokenizer.json
3.56 MB
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