Instructions to use laquythang/9d94bc60-34ce-43f9-8b83-e855fe65505c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/9d94bc60-34ce-43f9-8b83-e855fe65505c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/zephyr-sft") model = PeftModel.from_pretrained(base_model, "laquythang/9d94bc60-34ce-43f9-8b83-e855fe65505c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b797fc086d9392fef014c83e16acb2646ae920949ba7676e681adc559c668cb4
- Size of remote file:
- 168 MB
- SHA256:
- b4549700f59df37827b6a2a8d6f84de0b3f209a07edf67078743d268924adb8d
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