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:
- 6c6263b2a5102f3f72784cb15d5f8aea118e1c63b39b0616b8abcb035c95228c
- Size of remote file:
- 6.71 kB
- SHA256:
- e39a4f0eb4f3d2b080abb45f3c3380673d49436b382e60fdf095ebad818ee511
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