Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
Safetensors
English
wav2vec2
audio
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Instructions to use facebook/wav2vec2-base-960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-base-960h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-960h")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base-960h") model = AutoModelForCTC.from_pretrained("facebook/wav2vec2-base-960h") - Notebooks
- Google Colab
- Kaggle
Add Open ASR Leaderboard evaluation results
#19 opened about 1 month ago
by
SaylorTwift
๐ Documentation Enhancement Suggestion
#18 opened 3 months ago
by
CroviaTrust
Adding Neuron-optimized model files
#17 opened 10 months ago
by
badaoui
weights were not initialized from the checkpoint and are newly initialized:
1
#16 opened over 1 year ago
by
barathm11111
Update README.md
#15 opened over 1 year ago
by
Simonom
Adding ONNX file of this model
#14 opened almost 2 years ago
by
boridori
Update README.md
#13 opened about 2 years ago
by
alif75
Adding `safetensors` variant of this model
๐ 1
#12 opened about 2 years ago
by
Jona6tc
Update README.md
#10 opened over 2 years ago
by
sanchit-gandhi
Update README.md
๐ 1
1
#8 opened about 3 years ago
by
Saeid
Can not generate text from local .wav file
1
#5 opened over 3 years ago
by
himelbikon
Gibberish model outputs on all models and processors
2
#4 opened over 3 years ago
by
Lvegna
WER stays on 1 when fine tune
14
#3 opened almost 4 years ago
by
abramovi
model performs poorly on local machine
2
#1 opened almost 4 years ago
by
jonasislive