Instructions to use aleegis10/cd899803-f2b7-46da-b991-1e77ebf812fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/cd899803-f2b7-46da-b991-1e77ebf812fa 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, "aleegis10/cd899803-f2b7-46da-b991-1e77ebf812fa") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from aleegis10/cd899803-f2b7-46da-b991-1e77ebf812fa: direct link, hf CLI and curl.
- Browser
- Download file 141 MB
-
https://huggingface.co/aleegis10/cd899803-f2b7-46da-b991-1e77ebf812fa/resolve/main/adapter_model.bin
- Command line
-
hf download hf://aleegis10/cd899803-f2b7-46da-b991-1e77ebf812fa/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/aleegis10/cd899803-f2b7-46da-b991-1e77ebf812fa/resolve/main/adapter_model.bin
141 MB
- Xet hash:
- 072dcd08a248817dae3f94dfc7a91c63d89939a1c331d88d2c04dcf2b564bd30
- Size of remote file:
- 141 MB
- SHA256:
- af59e59583e5737290f7ff120a459fee11cfc83155dd332378128f0f38677660
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