Instructions to use DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7 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/a775b278-783a-48b2-a052-f91b1ce444b7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06046cda83bb63b158cc25cb49f55044917bd4538ce6ed12ad170919c8eed575
- Size of remote file:
- 1.06 kB
- SHA256:
- 23cd479fc96a8f6e5bac35733fb4e3abbee1661f2eee36828b52baa4b0a5d4fd
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