Instructions to use facebook/wav2vec2-conformer-rel-pos-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-conformer-rel-pos-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("facebook/wav2vec2-conformer-rel-pos-large") model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-conformer-rel-pos-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add tokenizer_class
#1
by ydshieh HF Staff - opened
Question: Is Wav2Vec2Processor supposed to work with many different types of tokenizer? Or just Wav2Vec2CTCTokenizer and Wav2Vec2Tokenizer?
Looks good to me!
I am not able to merge :-) Could you merge it, thanks!
patrickvonplaten changed pull request status to merged