Automatic Speech Recognition
Transformers
PyTorch
German
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use sourabharsh/wav2vec2_10july with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sourabharsh/wav2vec2_10july with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sourabharsh/wav2vec2_10july")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("sourabharsh/wav2vec2_10july") model = AutoModelForCTC.from_pretrained("sourabharsh/wav2vec2_10july") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot