Automatic Speech Recognition
Transformers
PyTorch
Safetensors
French
English
speech_to_text
audio
speech-translation
Instructions to use joaogante/test_audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaogante/test_audio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joaogante/test_audio")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("joaogante/test_audio") model = AutoModelForSpeechSeq2Seq.from_pretrained("joaogante/test_audio") - Notebooks
- Google Colab
- Kaggle
Add TF weights
#4
by joaogante - opened
Validated by the pt_to_tf CLI. Max crossload hidden state difference=9.537e-07; Max converted hidden state difference=9.537e-07