Instructions to use Tobius/ChechR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tobius/ChechR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Tobius/ChechR")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Tobius/ChechR") model = AutoModelForTextToSpectrogram.from_pretrained("Tobius/ChechR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c773f4a2a2528012b1750a4c3c91939a5976c48102091386a86d5cc190ae4419
- Size of remote file:
- 4.86 kB
- SHA256:
- 4479f65ad15127363c07d46dec172471db4bee973f53c1307dda400b9252dc6a
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