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-500/optimizer.pt from Dohahemdann/sparky-decoder-3: direct link, hf CLI and curl.
- Browser
- Download file 43.4 MB
-
https://huggingface.co/Dohahemdann/sparky-decoder-3/resolve/main/checkpoint-500/optimizer.pt
- Command line
-
hf download hf://Dohahemdann/sparky-decoder-3/checkpoint-500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Dohahemdann/sparky-decoder-3/resolve/main/checkpoint-500/optimizer.pt
43.4 MB
- Xet hash:
- d7450bc8b60056bde57ff73a12e06f426ba22d5724ea400266c1e7ec20e78dfe
- Size of remote file:
- 43.4 MB
- SHA256:
- 7fae5bbdc4b174a33879986fe08055fca6cd8b43a01593763e1fef4afb1b89ec
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