Automatic Speech Recognition
Transformers
Safetensors
prosody_to_text
feature-extraction
prosody
speech-recognition
custom_code
Instructions to use Daporte/prosody2text-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Daporte/prosody2text-weights with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Daporte/prosody2text-weights", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Daporte/prosody2text-weights", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
6 days ago
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Fix the dataset-evaluation commands
huggingface-cli is deprecated and now exits rather than downloading, so the documented sequence failed at step two. It is hf download. Added the uv form beside the pip one, because the obvious translation does not work: uv install is not a subcommand, and uv add needs a pyproject.toml, so it has to start with uv init --bare in an empty directory. And bare python is the system interpreter, which has none of the dependencies -- it has to be uv run python.9fe2129 -
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