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-3000/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-3000/optimizer.pt
- Command line
-
hf download hf://Dohahemdann/sparky-decoder-3/checkpoint-3000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Dohahemdann/sparky-decoder-3/resolve/main/checkpoint-3000/optimizer.pt
44.5 MB
- Xet hash:
- 8a445859768b200b1e4ec0c7fa07517292fb9d5585f8c1b0a943413a5cae34cb
- Size of remote file:
- 44.5 MB
- SHA256:
- 07e79e7f64447ea50c5a744d28e264296409b44e81d54c7ffe12e61514b765a9
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