Instructions to use sergioalves/4ec7ac8c-0ff7-4dbe-a6e5-dd3c993690bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/4ec7ac8c-0ff7-4dbe-a6e5-dd3c993690bb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "sergioalves/4ec7ac8c-0ff7-4dbe-a6e5-dd3c993690bb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70a35a363926ec8452f8b1f7aad89c824a318542f4a543619ee4a893fb7ba5fd
- Size of remote file:
- 6.78 kB
- SHA256:
- 377ea5d1105bf254d28df7e4c7839550e1379c07350bbafb0f46274d92f5b6ea
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