Instructions to use VERSIL91/4cc78c05-ac30-46fc-9e25-39fee607b92e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/4cc78c05-ac30-46fc-9e25-39fee607b92e 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, "VERSIL91/4cc78c05-ac30-46fc-9e25-39fee607b92e") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/4cc78c05-ac30-46fc-9e25-39fee607b92e: direct link, hf CLI and curl.
- Browser
- Download file 6.71 kB
-
https://huggingface.co/VERSIL91/4cc78c05-ac30-46fc-9e25-39fee607b92e/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/4cc78c05-ac30-46fc-9e25-39fee607b92e/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/4cc78c05-ac30-46fc-9e25-39fee607b92e/resolve/main/training_args.bin
6.71 kB
- Xet hash:
- 7a3af3503d03286931a95364dd0bcb3ff5546b31f1d7d3b19295ec8033ebb8b6
- Size of remote file:
- 6.71 kB
- SHA256:
- 268fa48f7b520d8cb75a91e965a312964a19b4dd34f5cb43055388208006ab2e
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