Instructions to use elliotthwangmsa/OpenChat-tw2000_train_ouputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use elliotthwangmsa/OpenChat-tw2000_train_ouputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openchat/openchat_3.5") model = PeftModel.from_pretrained(base_model, "elliotthwangmsa/OpenChat-tw2000_train_ouputs") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from elliotthwangmsa/OpenChat-tw2000_train_ouputs: direct link, hf CLI and curl.
- Browser
- Download file 46.3 MB
-
https://huggingface.co/elliotthwangmsa/OpenChat-tw2000_train_ouputs/resolve/main/adapter_model.bin
- Command line
-
hf download hf://elliotthwangmsa/OpenChat-tw2000_train_ouputs/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/elliotthwangmsa/OpenChat-tw2000_train_ouputs/resolve/main/adapter_model.bin
46.3 MB
- Xet hash:
- bcce78767ef46010a9ccc3a440c7d3b764d6cf76eb86b8dc1ea37a0bb385b799
- Size of remote file:
- 46.3 MB
- SHA256:
- 26efd05c213bca90640624c4a3daf9b699e7ad508c5c044bc3ab1716c33ca5ca
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