Instructions to use Dohahemdann/sparky-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dohahemdann/sparky-decoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Dohahemdann/sparky-decoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-2628/tokenizer.json from Dohahemdann/sparky-decoder: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/Dohahemdann/sparky-decoder/resolve/main/checkpoint-2628/tokenizer.json
- Command line
-
hf download hf://Dohahemdann/sparky-decoder/checkpoint-2628/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Dohahemdann/sparky-decoder/resolve/main/checkpoint-2628/tokenizer.json
33.4 MB
- Xet hash:
- 0a8cd9eb3fd5180ae8aa43ab4e2f978f6d846ac0d8b23dbe6ce048893188ddd3
- Size of remote file:
- 33.4 MB
- SHA256:
- b6c35ee648c07754b44cd9e371c75d4caa05c4504910b7ad29b1847ee9d8ba5d
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