Instructions to use Dohahemdann/sparky-decoder-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dohahemdann/sparky-decoder-5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Dohahemdann/sparky-decoder-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-3000/optimizer.pt from Dohahemdann/sparky-decoder-5: direct link, hf CLI and curl.
- Browser
- Download file 169 MB
-
https://huggingface.co/Dohahemdann/sparky-decoder-5/resolve/main/checkpoint-3000/optimizer.pt
- Command line
-
hf download hf://Dohahemdann/sparky-decoder-5/checkpoint-3000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Dohahemdann/sparky-decoder-5/resolve/main/checkpoint-3000/optimizer.pt
169 MB
- Xet hash:
- f79033265b7532cfc29456cdd551a170b562b67cd3649bf62d2897bc02f49319
- Size of remote file:
- 169 MB
- SHA256:
- ad023dda64230d2159ffa8bc69f0426812af5d6f14c36a513ff1753ed0b4a7c2
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