Instructions to use nickmuchi/wav2vec2-base-finetuned-spgispeech-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nickmuchi/wav2vec2-base-finetuned-spgispeech-dev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nickmuchi/wav2vec2-base-finetuned-spgispeech-dev")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("nickmuchi/wav2vec2-base-finetuned-spgispeech-dev") model = AutoModelForCTC.from_pretrained("nickmuchi/wav2vec2-base-finetuned-spgispeech-dev") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot