Instructions to use prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718 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, "prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718/resolve/ac49daa08f4e4b98eddcd299e345669945d7a98e/training_args.bin
- Command line
-
hf download hf://prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718@ac49daa08f4e4b98eddcd299e345669945d7a98e/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718/resolve/ac49daa08f4e4b98eddcd299e345669945d7a98e/training_args.bin
6.84 kB
- Xet hash:
- 49a34bd9a95d5992a0370fafeea4b77000d3168d30a10951c23cf00257151c76
- Size of remote file:
- 6.84 kB
- SHA256:
- 683b0187430f2d82bf3f86867d9e28f4fd7c463bd416b79f64034464c6376404
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