Instructions to use VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- db03e7c810a730719b6c485cba78eed5737bbb26915c6ee4b9a0186dfb54494b
- Size of remote file:
- 6.78 kB
- SHA256:
- 992e5f68dabc284bb1cda89f7eb4b87cfc2e0e92d9976a614fa827df94e64034
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