Instructions to use sergioalves/0faed3e9-e738-48d0-97e2-a27c62b434bc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/0faed3e9-e738-48d0-97e2-a27c62b434bc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "sergioalves/0faed3e9-e738-48d0-97e2-a27c62b434bc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 919fcf6bb8129be6c6a46903f1dc65fbcbd5a44f635bfa227f2ed0e07039c421
- Size of remote file:
- 50.6 MB
- SHA256:
- b884bfb2c6ce07040b36c5e53cc7914c89605353722a3fdaf40192c84b63f3e7
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