Instructions to use bf-dev/chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bf-dev/chat with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/polyglot-ko-5.8b") model = PeftModel.from_pretrained(base_model, "bf-dev/chat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ff1ec21c1e8f4214838aac862344b9e75ddbda414e1ff59a508d85bdf054cd2
- Size of remote file:
- 14.7 MB
- SHA256:
- 89828eb3f091c3231d85ee8bae80f5525e6b3dd4c0974f154ce218df3c6e2b5b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.