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 training_args.bin from prxy5605/9c837f73-e4ce-4f87-b8a0-c0993f304d7c: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/prxy5605/9c837f73-e4ce-4f87-b8a0-c0993f304d7c/resolve/d1a7e3455357f7fec0c3e2bf06217ecb1f91feb3/training_args.bin
- Command line
-
hf download hf://prxy5605/9c837f73-e4ce-4f87-b8a0-c0993f304d7c@d1a7e3455357f7fec0c3e2bf06217ecb1f91feb3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prxy5605/9c837f73-e4ce-4f87-b8a0-c0993f304d7c/resolve/d1a7e3455357f7fec0c3e2bf06217ecb1f91feb3/training_args.bin
6.84 kB
- Xet hash:
- 69839531dc3154ec9c1b02b5187da0a3f0feeef76daaf43d2866488b02038595
- Size of remote file:
- 6.84 kB
- SHA256:
- 531faba8d2136018d18001edc03b9a7cb29f4356a51e1af078f564ff64a6b647
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