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:
- 9fa8dd6700444f53c38de5f4b54f86fdb7bca204deaaf987f3823796b19424e9
- Size of remote file:
- 6.78 kB
- SHA256:
- 91e0125b0ce884bcf5f7a0da9a150ad8490a1a9d8793bf620fced8b8a33d7cf4
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