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-2500/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-2500/optimizer.pt
- Command line
-
hf download hf://Dohahemdann/sparky-decoder-3/checkpoint-2500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Dohahemdann/sparky-decoder-3/resolve/main/checkpoint-2500/optimizer.pt
44.5 MB
- Xet hash:
- 12f932eb985c80d5c462e4fc791fd5d65423254cd5613dd8b0a6e6133f7de78a
- Size of remote file:
- 44.5 MB
- SHA256:
- e9ac530b019eaee0f4dd8a4a9ca07875678a9f87b510ccdedf23b17b2c7da718
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