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 training_args.bin from DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7/resolve/main/training_args.bin
- Command line
-
hf download hf://DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 798770876c4ba1c6ff80f750693f4e44e204f90bd2ede842002abad6a5d4df28
- Size of remote file:
- 6.84 kB
- SHA256:
- 984abbf989341e3c924d7c97eaa40b7a7a797ebd413dfeb654f5294027139655
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