Instructions to use goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7 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, "goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7/resolve/main/adapter_model.bin
- Command line
-
hf download hf://goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/goodlucky55555/466b74ed-0ae4-47bc-bc35-53c2d521c8f7/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- 295ae6cb9749a69cf2181066656d2e53e209f58f293102dedd4f8552e07dab43
- Size of remote file:
- 84 MB
- SHA256:
- 62430e49a677cf52a7d8cd509d662dbb1d1e3ac009c4cf084fc8519f4ce98c85
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