Instructions to use VERSIL91/3eaaf228-4375-4797-b340-78d26ee09408 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/3eaaf228-4375-4797-b340-78d26ee09408 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, "VERSIL91/3eaaf228-4375-4797-b340-78d26ee09408") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/3eaaf228-4375-4797-b340-78d26ee09408: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/3eaaf228-4375-4797-b340-78d26ee09408/resolve/4e4467e5b5bcc892a557e6e9b1d6ac2e477c97f8/training_args.bin
- Command line
-
hf download hf://VERSIL91/3eaaf228-4375-4797-b340-78d26ee09408@4e4467e5b5bcc892a557e6e9b1d6ac2e477c97f8/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/3eaaf228-4375-4797-b340-78d26ee09408/resolve/4e4467e5b5bcc892a557e6e9b1d6ac2e477c97f8/training_args.bin
6.78 kB
- Xet hash:
- eb89f727c7bbc5490c6d8973c9a28843f26ca3fd6f76814de8097e2d76bc6783
- Size of remote file:
- 6.78 kB
- SHA256:
- 956320a351f83d988a7409faa5940c55a70a1c0829e1eeb7e98e1ad71df43b3a
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