Instructions to use cunghoctienganh/75006cde-38ad-447b-9160-7ccef36c0eaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/75006cde-38ad-447b-9160-7ccef36c0eaa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/75006cde-38ad-447b-9160-7ccef36c0eaa") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from cunghoctienganh/75006cde-38ad-447b-9160-7ccef36c0eaa: direct link, hf CLI and curl.
- Browser
- Download file 80.9 MB
-
https://huggingface.co/cunghoctienganh/75006cde-38ad-447b-9160-7ccef36c0eaa/resolve/main/adapter_model.bin
- Command line
-
hf download hf://cunghoctienganh/75006cde-38ad-447b-9160-7ccef36c0eaa/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/cunghoctienganh/75006cde-38ad-447b-9160-7ccef36c0eaa/resolve/main/adapter_model.bin
80.9 MB
- Xet hash:
- 2aa14a56122b126bf50cf226d6c1c24139c86020339367ab8e695f2515c34bef
- Size of remote file:
- 80.9 MB
- SHA256:
- d6cdfc20c063ae1841b455bb7ec633cdda5b68f4bd113129be0bbf01b05b31fc
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