Instructions to use nttx/7fcc412f-2a90-43a7-aa70-96e3a9293ca5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/7fcc412f-2a90-43a7-aa70-96e3a9293ca5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "nttx/7fcc412f-2a90-43a7-aa70-96e3a9293ca5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 571b565907520ce72b7f10a95bc57062b1c663c329388711310dabaa05a4ba09
- Size of remote file:
- 6.84 kB
- SHA256:
- f42c28ed163fa6aa0b146b2c911d02081eda922f8d7532e2bccaefb2894973bd
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