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
File size: 212 Bytes
39d5574 | 1 2 3 4 5 6 7 8 9 | {
"mel_bins": 12,
"length_ratio": 0.5,
"input_dim": 2,
"f0_key": "f0_interp",
"intensity_key": "intensity",
"input_frames": 2000,
"source_checkpoint": "conformer/checkpoint-6000/model.safetensors"
} |