Instructions to use sameearif88/wav2vec2-base-timit-demo-colab7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sameearif88/wav2vec2-base-timit-demo-colab7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sameearif88/wav2vec2-base-timit-demo-colab7")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("sameearif88/wav2vec2-base-timit-demo-colab7") model = AutoModelForCTC.from_pretrained("sameearif88/wav2vec2-base-timit-demo-colab7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot