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:
- 5a8cace8fd255845e0ed5fb459f82f6ec5abe56e3677aa90a0cc8d1fe85ff8a5
- Size of remote file:
- 578 MB
- SHA256:
- eceea455c060be77983a2001028d71f5a4cd909971b621ddb7988fb4c7bd8a6e
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