Instructions to use baebee/VACANT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baebee/VACANT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Deci/DeciCoder-1b") model = PeftModel.from_pretrained(base_model, "baebee/VACANT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d30da0c89744529c4da24e614ce227ae2ef1ff1e0c13f302e3681a1f0f5ec1bf
- Size of remote file:
- 32.8 MB
- SHA256:
- 2d4c206dd9483f420a2c8708faed7e32fc398676686d4576916fb2572d77cc3b
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