Instructions to use prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269 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, "prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269: direct link, hf CLI and curl.
- Browser
- Download file 141 MB
-
https://huggingface.co/prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269/resolve/main/adapter_model.bin
- Command line
-
hf download hf://prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269/resolve/main/adapter_model.bin
141 MB
- Xet hash:
- bb2c4511f339081eaf70e58b4989bb2adb3a981db8335a50498145282ded2766
- Size of remote file:
- 141 MB
- SHA256:
- ad44bc3b55685ff111db65ec28601c0c3beee136904e9f671f7d0654f6738ae3
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