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-3500/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-3500/optimizer.pt
- Command line
-
hf download hf://Dohahemdann/sparky-decoder-5/checkpoint-3500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Dohahemdann/sparky-decoder-5/resolve/main/checkpoint-3500/optimizer.pt
169 MB
- Xet hash:
- 2012d4237c19538d2491a4218c56823d31f49f0d1bed0afa48a95b012f845509
- Size of remote file:
- 169 MB
- SHA256:
- e6fb78b3f14c49a583bdbb7ff61646bc076c7fb7bdbb20430137ee059217e711
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