Instructions to use VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-14B-Chat") model = PeftModel.from_pretrained(base_model, "VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/54cbd832-1094-46c2-8fd7-d49114a7eace/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 54f90b8655d7bd1668117b4c0ca379061a0ffb518ea880671c26e388002ea2d8
- Size of remote file:
- 6.78 kB
- SHA256:
- 9c080e0bcb1e8adbb38806ec59b23cd8d8b99888f1497344ce9fa48edcc0a239
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