Automatic Speech Recognition
Transformers
PyTorch
JAX
Safetensors
English
wav2vec2
audio
hf-asr-leaderboard
mozilla-foundation/common_voice_6_0
robust-speech-event
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use jonatasgrosman/wav2vec2-large-xlsr-53-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonatasgrosman/wav2vec2-large-xlsr-53-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/wav2vec2-large-xlsr-53-english")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jonatasgrosman/wav2vec2-large-xlsr-53-english") model = AutoModelForCTC.from_pretrained("jonatasgrosman/wav2vec2-large-xlsr-53-english", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Wow good spread
#19
by awacke1 - opened
You are one of the best model makers around Jonatas Grosman. Care to share some secrets which give you such spread? You are regularly pumping out new models. Would you share your process or toolset with your fans? Kudos and keep on rocking in the free world.
much admired,
Aaron