Instructions to use atamano/whisper-chess-tiny-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atamano/whisper-chess-tiny-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="atamano/whisper-chess-tiny-es")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("atamano/whisper-chess-tiny-es") model = AutoModelForSpeechSeq2Seq.from_pretrained("atamano/whisper-chess-tiny-es") - Notebooks
- Google Colab
- Kaggle
Update licensing contact email
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README.md
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@@ -56,7 +56,7 @@ This model is licensed under **CC BY-NC-SA 4.0**. Summary:
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- ❌ **Commercial use is NOT permitted without a separate license**
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- ❌ Including the model in commercial products, paid services, or competing voice-chess offerings requires explicit written permission
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For commercial licensing inquiries: **
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The full license text: https://creativecommons.org/licenses/by-nc-sa/4.0/
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- ❌ **Commercial use is NOT permitted without a separate license**
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- ❌ Including the model in commercial products, paid services, or competing voice-chess offerings requires explicit written permission
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For commercial licensing inquiries: **antoine@darksquares.net**
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The full license text: https://creativecommons.org/licenses/by-nc-sa/4.0/
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