Instructions to use daniel40/317ef4d6-918f-4034-b25e-90c0ece6c2fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/317ef4d6-918f-4034-b25e-90c0ece6c2fa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "daniel40/317ef4d6-918f-4034-b25e-90c0ece6c2fa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53235c1b3d0def395a8584ff72276029eb171af46d1c6a5673e93a28ecda9457
- Size of remote file:
- 6.78 kB
- SHA256:
- 9c1d116a0a5c63da6f6e0eebae437311ed8ce96b2e18cf5dc30cbd333b535af7
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