Instructions to use prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a: direct link, hf CLI and curl.
- Browser
- Download file 141 MB
-
https://huggingface.co/prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a/resolve/main/adapter_model.bin
- Command line
-
hf download hf://prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/prxy5607/8daf68ef-f259-47c7-a975-9759c4b9e02a/resolve/main/adapter_model.bin
141 MB
- Xet hash:
- b9a600106cc7718c38f1d774e4115cd69d1020e3efd7ba1ea2f6f868d6dcc02c
- Size of remote file:
- 141 MB
- SHA256:
- 8873f38c4b6a4b4e8e57adf477f7cef8b31654d719b79a2724da92eda59cf8af
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