Automatic Speech Recognition
Transformers
PyTorch
speech-encoder-decoder
speech
xls_r
xls_r_translation
Instructions to use facebook/wav2vec2-xls-r-300m-21-to-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-xls-r-300m-21-to-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-xls-r-300m-21-to-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("facebook/wav2vec2-xls-r-300m-21-to-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("facebook/wav2vec2-xls-r-300m-21-to-en") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened almost 3 years ago
by
SFconvertbot
Update import of processor in README.md
#3 opened over 3 years ago
by
sanchit-gandhi