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
Download tokenizer/tokenizer.json from Daporte/prosody2text-weights: direct link, hf CLI and curl.
- Browser
- Download file 3.93 MB
-
https://huggingface.co/Daporte/prosody2text-weights/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://Daporte/prosody2text-weights/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Daporte/prosody2text-weights/resolve/main/tokenizer/tokenizer.json
3.93 MB
File too large to display, you can check the raw version instead.