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:
- 0314422b4af1f2ffc60a8171e3972401d969836ed25a66b5caa3e49261e30e51
- Size of remote file:
- 85.7 MB
- SHA256:
- 163aa852cbdf794f8cce36497fc6fddc26cd9472843c4517d0528dae614ce516
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