Automatic Speech Recognition
Transformers
PyTorch
JAX
Polish
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-polish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonatasgrosman/wav2vec2-large-xlsr-53-polish 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-polish")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jonatasgrosman/wav2vec2-large-xlsr-53-polish") model = AutoModelForCTC.from_pretrained("jonatasgrosman/wav2vec2-large-xlsr-53-polish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Multilingual powerhouse — testing for mobile deployment
#7 opened 24 days ago
by
3morixd
Listed on OpenModelMap
#6 opened about 1 month ago
by
duola15
Librarian Bot: Add base_model information to model
#3 opened over 2 years ago
by
librarian-bot
How much time does it take to do the speech to text conversion? Would it be possible to add this information to the Model card?
#2 opened over 3 years ago
by
filip-dahlberg
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot