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 last-checkpoint/adapter_model.safetensors from VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399: direct link, hf CLI and curl.
- Browser
- Download file 6.8 MB
-
https://huggingface.co/VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/VERSIL91/65c6578d-ea14-4108-8758-2cd99048d399/resolve/main/last-checkpoint/adapter_model.safetensors
6.8 MB
- Xet hash:
- dfff3757ac3ec56666ae73b40d3e484ad59de1747eeadb43288e3b8b69260bad
- Size of remote file:
- 6.8 MB
- SHA256:
- 0e09b9a769eed32d9148bfe50b6dfa80d52d9729b91f06b4feb9050bf6cad8bd
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