Instructions to use Dohahemdann/sparky-decoder-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dohahemdann/sparky-decoder-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Dohahemdann/sparky-decoder-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-3500/optimizer.pt from Dohahemdann/sparky-decoder-3: direct link, hf CLI and curl.
- Browser
- Download file 44.5 MB
-
https://huggingface.co/Dohahemdann/sparky-decoder-3/resolve/main/checkpoint-3500/optimizer.pt
- Command line
-
hf download hf://Dohahemdann/sparky-decoder-3/checkpoint-3500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Dohahemdann/sparky-decoder-3/resolve/main/checkpoint-3500/optimizer.pt
44.5 MB
- Xet hash:
- 3030bf1ee4eb91f4a3ffc1c3cf60bd8e4e15ff0ed80058edff0f29163c6a4fbe
- Size of remote file:
- 44.5 MB
- SHA256:
- 0ab55c35fdc1b77d9027d88666c0058994f2b2ab3e296cb2706e64233c282e0c
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