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