Instructions to use VERSIL91/347bf748-b933-4f8d-b5d5-f742d6c6e4b9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/347bf748-b933-4f8d-b5d5-f742d6c6e4b9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "VERSIL91/347bf748-b933-4f8d-b5d5-f742d6c6e4b9") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/347bf748-b933-4f8d-b5d5-f742d6c6e4b9: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/347bf748-b933-4f8d-b5d5-f742d6c6e4b9/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/347bf748-b933-4f8d-b5d5-f742d6c6e4b9/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/347bf748-b933-4f8d-b5d5-f742d6c6e4b9/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- c8d98bf564c6c7e9b53bde8f30f6c559423d610fe1decfcee383e9f6b99c5278
- Size of remote file:
- 6.78 kB
- SHA256:
- 431c0ab28f7ee2732e376c4d9247163097fd7026edac5ddac311c9fb78efd8b9
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