Instructions to use beast33/7bf1ea0a-67ec-47e8-8404-462e8f0b62d4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/7bf1ea0a-67ec-47e8-8404-462e8f0b62d4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B") model = PeftModel.from_pretrained(base_model, "beast33/7bf1ea0a-67ec-47e8-8404-462e8f0b62d4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d3c8f74b72eb7b3286b90a7b2b3b64f31f9774dbaeefb864f5ef0d75c9315ea
- Size of remote file:
- 59.9 MB
- SHA256:
- e3987828bc5d527ea82684d0405e1f954f8c0662fed214453070458a7111b64a
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