Instructions to use DeepDream2045/8102bae9-c442-4a29-848f-946f8771f1f9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/8102bae9-c442-4a29-848f-946f8771f1f9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "DeepDream2045/8102bae9-c442-4a29-848f-946f8771f1f9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a24d96df655fd65b8f11f9b93f20600b8ae662ac8dea3d0725611d6bd181c62a
- Size of remote file:
- 336 MB
- SHA256:
- 2f93a4b1e3a24bdf5e81ef3a0e6d2a662fbb98954d90ba5040621924583e940f
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