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-1500/optimizer.pt from Dohahemdann/sparky-decoder: direct link, hf CLI and curl.
- Browser
- Download file 43.4 MB
-
https://huggingface.co/Dohahemdann/sparky-decoder/resolve/main/checkpoint-1500/optimizer.pt
- Command line
-
hf download hf://Dohahemdann/sparky-decoder/checkpoint-1500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Dohahemdann/sparky-decoder/resolve/main/checkpoint-1500/optimizer.pt
43.4 MB
- Xet hash:
- 1be52a4521fcfe0aa73e00f193123eaf1feafbc42d8e862f8095df9e82b537b4
- Size of remote file:
- 43.4 MB
- SHA256:
- 98acbd9268d316e5ee233100032052a686d0f05cf452f1a6823162ce04c10e24
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