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:
- 796f67a5f1d27d6ec3487b4ec5bc4dfad72f932174a37c75183fbbd749684497
- Size of remote file:
- 85.7 MB
- SHA256:
- be40822125e9e171493553c3aabf7a0b66e72f4881608d86505d6625cba7725d
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