Instructions to use chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308: direct link, hf CLI and curl.
- Browser
- Download file 50.4 MB
-
https://huggingface.co/chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308/resolve/main/adapter_model.bin
- Command line
-
hf download hf://chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/chauhoang/085e7131-5a9c-40d0-84fc-cbc9630be308/resolve/main/adapter_model.bin
50.4 MB
- Xet hash:
- 354b931369b91fad3f122936c48cccd6cf51aae7650f333eabac846a4ac2a553
- Size of remote file:
- 50.4 MB
- SHA256:
- 6b53aef0990c8542ec39d43ebb675b7bfa19e9a63cbf11a1ee27666f3daf85ea
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