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:
- 6b3415c3a3e301e64d0ab460acdeab1a9d4ef16f46e2a4437a62da94368979a1
- Size of remote file:
- 50.5 MB
- SHA256:
- 1cf1f168e46b4ad56c831cc73dabe2251ac9d3b79e9f613149d7291e15b1a73d
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