Instructions to use compressa-ai/openchat-3.5-0106-medchat-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use compressa-ai/openchat-3.5-0106-medchat-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openchat/openchat-3.5-0106") model = PeftModel.from_pretrained(base_model, "compressa-ai/openchat-3.5-0106-medchat-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 233903b694a31904042ecff2bb6d166d4ff8fd9d83d630dddfe8cebe26bbb2a3
- Size of remote file:
- 14.2 kB
- SHA256:
- cf1876bc28366997498f003e2f1788545c41b0e114bc34267a1decc3e35e0ec9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.