Instructions to use DeepDream2045/2c3d06f9-300c-4f57-b3ee-d023e9f79bae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/2c3d06f9-300c-4f57-b3ee-d023e9f79bae with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "DeepDream2045/2c3d06f9-300c-4f57-b3ee-d023e9f79bae") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- baf1f687955b94947b9516c0001f8ede25019c8e145fbfa4047be31157fa07c9
- Size of remote file:
- 120 kB
- SHA256:
- 806da755758c6551ede533f2e65f7948566f4003a15ec59774981330dcfd1d6e
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