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_3.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_3.pth
- Command line
-
hf download hf://DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040/last-checkpoint/rng_state_3.pth
-
curl -L -o rng_state_3.pth https://huggingface.co/DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040/resolve/main/last-checkpoint/rng_state_3.pth
15 kB
- Xet hash:
- 875d4818673344de1769e55ef61e48014d0a82b549d64ba22b087f58c1990a7e
- Size of remote file:
- 15 kB
- SHA256:
- b30a4be96020a9f78ec0edc6280ce600f3442844520ea63bfad12af2cd9b2248
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