Instructions to use VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-160m") model = PeftModel.from_pretrained(base_model, "VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- b7e7d9ce485aed1f0c8ddee8c7bb85315ddb6b7095af5635273c50803212accf
- Size of remote file:
- 6.78 kB
- SHA256:
- d03dba4465c163b58f49f9106c921fe34e5d6e6ead3896edc6dffbd88ef2d41a
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