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 adapter_model.bin from VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399: direct link, hf CLI and curl.
- Browser
- Download file 6.84 MB
-
https://huggingface.co/VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399/resolve/main/adapter_model.bin
- Command line
-
hf download hf://VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399/resolve/main/adapter_model.bin
6.84 MB
- Xet hash:
- 7afe1b58dfd56ef9bdeb14dff900078a7f1bab891a3a0cdbe20327848808ca0d
- Size of remote file:
- 6.84 MB
- SHA256:
- bdf82ef6ccb2aac2d12240dc65fafa95b14a759ffce241d6219817975ca82bf8
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