Instructions to use Dr-Floofers/PIPv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Dr-Floofers/PIPv2 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, "Dr-Floofers/PIPv2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80475bb283b275a169108303d06d90a1990ae0b97533bb20161e3c63bf6bdf15
- Size of remote file:
- 85.7 MB
- SHA256:
- 2f4492ba7887af54f19198b83cb72fe813100d0b74ab8225493522f497f4edb6
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