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 last-checkpoint/optimizer.pt from DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7: direct link, hf CLI and curl.
- Browser
- Download file 43.1 MB
-
https://huggingface.co/DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/DeepDream2045/a775b278-783a-48b2-a052-f91b1ce444b7/resolve/main/last-checkpoint/optimizer.pt
43.1 MB
- Xet hash:
- e54fa16e5d9bfe57d929301c4cb50e5d0b07a190b33f546350eb87bf4355178a
- Size of remote file:
- 43.1 MB
- SHA256:
- 2ca550fc44e8ab5972cdb82e6cc2d2be54d9827de08e9c9e01edd80ed927285f
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