Instructions to use prxy5604/6482c96d-2ff7-4b89-8f04-0761f3488c6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5604/6482c96d-2ff7-4b89-8f04-0761f3488c6b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "prxy5604/6482c96d-2ff7-4b89-8f04-0761f3488c6b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from prxy5604/6482c96d-2ff7-4b89-8f04-0761f3488c6b: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/prxy5604/6482c96d-2ff7-4b89-8f04-0761f3488c6b/resolve/main/adapter_model.bin
- Command line
-
hf download hf://prxy5604/6482c96d-2ff7-4b89-8f04-0761f3488c6b/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/prxy5604/6482c96d-2ff7-4b89-8f04-0761f3488c6b/resolve/main/adapter_model.bin
671 MB
- Xet hash:
- 1b72b5e2c8278ac28be0475e87303fc547eb50bc1d3fc2a9f5ce0e84f8f8d6cd
- Size of remote file:
- 671 MB
- SHA256:
- acd68994e17325b0bd2698c61207b7875cfa9e941c000cbcdde68740c7861afa
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