Automatic Speech Recognition
Transformers
PyTorch
JAX
Dutch
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-dutch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonatasgrosman/wav2vec2-large-xlsr-53-dutch 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-dutch")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jonatasgrosman/wav2vec2-large-xlsr-53-dutch") model = AutoModelForCTC.from_pretrained("jonatasgrosman/wav2vec2-large-xlsr-53-dutch") - Notebooks
- Google Colab
- Kaggle
๐ Documentation Enhancement Suggestion
#6 opened 3 months ago
by
CroviaTrust
๐ Documentation Enhancement Suggestion
#5 opened 3 months ago
by
CroviaTrust
Adding `safetensors` variant of this model
#4 opened about 1 year ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#3 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
Request: DOI for Thesis
1
#1 opened over 3 years ago
by
BPArthurLibb