Instructions to use prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4 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, "prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4: direct link, hf CLI and curl.
- Browser
- Download file 403 MB
-
https://huggingface.co/prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4/resolve/main/adapter_model.bin
- Command line
-
hf download hf://prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/prxy5606/27c36c32-bd2d-4071-ab51-42c61a5c1dc4/resolve/main/adapter_model.bin
403 MB
- Xet hash:
- cd10c22b982c19ab565c2db4e21d9b83fa764e866fa51eee1b8717766de41c14
- Size of remote file:
- 403 MB
- SHA256:
- c8538463ba33ab1afc2105704c719adabf730318befc15f6dd15a21a46d7df7b
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