Instructions to use nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3/resolve/main/adapter_model.bin
- Command line
-
hf download hf://nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- ca8cf81879bc8f76403552039a10672ee06fb1dd796ec2ec17cec75cac4e3d10
- Size of remote file:
- 84 MB
- SHA256:
- 83bb1d76814cbdc7c847ef1ca3d2a9344d3830c46247c7c75cc32dc820a50f64
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