Instructions to use DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state_2.pth from DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040: direct link, hf CLI and curl.
- Browser
- Download file 15 kB
-
https://huggingface.co/DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040/resolve/main/last-checkpoint/rng_state_2.pth
- Command line
-
hf download hf://DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040/last-checkpoint/rng_state_2.pth
-
curl -L -o rng_state_2.pth https://huggingface.co/DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040/resolve/main/last-checkpoint/rng_state_2.pth
15 kB
- Xet hash:
- 61564254b4b0f0850e7181eed68bff3fde06b87dffb540fcd29809d413e0a8a1
- Size of remote file:
- 15 kB
- SHA256:
- 40a7d7667ba31dd24e1a8dd9e9afedfda754f480ad36b8dc9099db85c4cbb5b0
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