Instructions to use gngpostalsrvc/w2v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gngpostalsrvc/w2v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gngpostalsrvc/w2v2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("gngpostalsrvc/w2v2") model = AutoModelForCTC.from_pretrained("gngpostalsrvc/w2v2") - Notebooks
- Google Colab
- Kaggle
Added tokenizer from wav2vec2 base model
#1
by pokameswaran - opened
No description provided.
pokameswaran changed pull request status to closed
pokameswaran changed pull request status to open
Will this automatically get merged with main?
gngpostalsrvc changed pull request status to merged