Instructions to use DeepDream2045/2891ceeb-beb7-4a0c-8669-fa856b437fdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/2891ceeb-beb7-4a0c-8669-fa856b437fdb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-360M") model = PeftModel.from_pretrained(base_model, "DeepDream2045/2891ceeb-beb7-4a0c-8669-fa856b437fdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6fb215058e43a03e8b5ffe8965978d026d884236b416a3069053465c2d03c9a
- Size of remote file:
- 6.78 kB
- SHA256:
- 9314555439fce8c33a3ed8fe05ccfb5ce965fbc445fcb535b5736b1a81639f06
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