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-2500/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-2500/optimizer.pt
- Command line
-
hf download hf://Dohahemdann/sparky-decoder-5/checkpoint-2500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Dohahemdann/sparky-decoder-5/resolve/main/checkpoint-2500/optimizer.pt
169 MB
- Xet hash:
- fe5693c1efe98129f5e9e8ff80c07726a72d2c89ac39d2f7a227146f0ccf6f75
- Size of remote file:
- 169 MB
- SHA256:
- f7df1f1cb8c13fad1b3232b5fb4799d2084f856cc136e022818b4f0c36c46d08
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