Instructions to use prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4/resolve/main/training_args.bin
- Command line
-
hf download hf://prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 15cdb08c91a27046f20814707d53c6d7c6e423b2e7c19bf34ae4bfd62b78b860
- Size of remote file:
- 6.84 kB
- SHA256:
- f849f40452cfe4b8d116840bc1f7612ca2c9c0b08162e598c61358e4d12dbde2
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