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:
- 37399747882502cbbd75f8644a88124a483dd93f5e02fb16dd42b4a1009e334d
- Size of remote file:
- 6.46 kB
- SHA256:
- aa1cd698c8658b3928bcdcc031c3fbd51ef67c62ad16ad82bbb6ad7efd9179b6
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