Instructions to use eeeebbb2/ce794c97-ab3d-4983-8fd9-ecb98ac48446 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/ce794c97-ab3d-4983-8fd9-ecb98ac48446 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "eeeebbb2/ce794c97-ab3d-4983-8fd9-ecb98ac48446") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from eeeebbb2/ce794c97-ab3d-4983-8fd9-ecb98ac48446: direct link, hf CLI and curl.
- Browser
- Download file 320 MB
-
https://huggingface.co/eeeebbb2/ce794c97-ab3d-4983-8fd9-ecb98ac48446/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://eeeebbb2/ce794c97-ab3d-4983-8fd9-ecb98ac48446/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/eeeebbb2/ce794c97-ab3d-4983-8fd9-ecb98ac48446/resolve/main/adapter_model.safetensors
320 MB
- Xet hash:
- e9c14c3b797c057fe27eaf6a3c2d506d8a273a84ff023882cbd0dacba00220fa
- Size of remote file:
- 320 MB
- SHA256:
- 9c115f04807581b2770985a6f855078ef8e5257ca7ca6ae919b65b4f0860a255
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