Instructions to use error577/b1dc32d5-feff-4c98-8015-ee3031097ac3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/b1dc32d5-feff-4c98-8015-ee3031097ac3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "error577/b1dc32d5-feff-4c98-8015-ee3031097ac3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 963c33f152b0b2e16511875081ef0d9e3efd4fcc7d0ae8b9fd6af9f4d3461e41
- Size of remote file:
- 101 MB
- SHA256:
- 753d8cee6d7ba4c42f760b97f929dd77e9e3298fee2ae3d2071a443ee83652ae
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