Instructions to use sergioalves/3fbf7cdb-a1fb-48c0-972c-8217d0e66d6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/3fbf7cdb-a1fb-48c0-972c-8217d0e66d6b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Base-2407") model = PeftModel.from_pretrained(base_model, "sergioalves/3fbf7cdb-a1fb-48c0-972c-8217d0e66d6b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd8312e3a0366f19c9d7058b5852912746ad8a5fa092912c60941ad59752417b
- Size of remote file:
- 6.78 kB
- SHA256:
- e3e19c3c335aa304a7b4199d5c89f6e869606fb6932fd2b4c87621805984cbfc
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