Instructions to use aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2/resolve/main/adapter_model.bin
- Command line
-
hf download hf://aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2/resolve/main/adapter_model.bin
671 MB
- Xet hash:
- 7ae9db4bec96115757b0e7c2c8ae0099964a2a3bc52f628c47f9b9e57bfc45be
- Size of remote file:
- 671 MB
- SHA256:
- 5b13c7892c05c02ae82568185bf206b206fdc1add084bb01285bfc9406a129fb
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