Instructions to use Dohahemdann/sparky-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dohahemdann/sparky-decoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Dohahemdann/sparky-decoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-3942/optimizer.pt from Dohahemdann/sparky-decoder: direct link, hf CLI and curl.
- Browser
- Download file 44.5 MB
-
https://huggingface.co/Dohahemdann/sparky-decoder/resolve/main/checkpoint-3942/optimizer.pt
- Command line
-
hf download hf://Dohahemdann/sparky-decoder/checkpoint-3942/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Dohahemdann/sparky-decoder/resolve/main/checkpoint-3942/optimizer.pt
44.5 MB
- Xet hash:
- c823165c2d6a701600f55e81c255b3016a953bc8e97021218eb31765b98ba6b1
- Size of remote file:
- 44.5 MB
- SHA256:
- 83f92eaf621296a97023686179510ce8b7323f308714c5e2d2d116a00b3e5564
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