Instructions to use daniel40/fcdd8afd-5ca7-4deb-8b94-b71b609ccd73 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/fcdd8afd-5ca7-4deb-8b94-b71b609ccd73 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/really-tiny-falcon-testing") model = PeftModel.from_pretrained(base_model, "daniel40/fcdd8afd-5ca7-4deb-8b94-b71b609ccd73") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35b48841474f208f9a278b287e5b9271b8c6d1b17589b73054681f71f0e5fad1
- Size of remote file:
- 6.84 kB
- SHA256:
- 0374b6d83bb0acba333147847bb37d42de5914d965f74758087c1a2c1fb3236b
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