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
Download adapter_model.bin from DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7/resolve/main/adapter_model.bin
- Command line
-
hf download hf://DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- 4f5fd86fef39d5e3f3af5b4c905ed4f8ea3740812e04cfa852c668c78033d022
- Size of remote file:
- 84 MB
- SHA256:
- 9e0027cdb90de4eae29ee37c4f0ff3814f6da3ec50e333692c0b1c6cf89ab215
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