Instructions to use menevsem/wav2vec2-base-960h-nmsqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use menevsem/wav2vec2-base-960h-nmsqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="menevsem/wav2vec2-base-960h-nmsqa")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("menevsem/wav2vec2-base-960h-nmsqa") model = AutoModel.from_pretrained("menevsem/wav2vec2-base-960h-nmsqa") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot