Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Portuguese
wav2vec2
Generated from Trainer
hf-asr-leaderboard
mozilla-foundation/common_voice_7_0
robust-speech-event
Eval Results (legacy)
Instructions to use lgris/wav2vec2_base_10k_8khz_pt_cv7_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgris/wav2vec2_base_10k_8khz_pt_cv7_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lgris/wav2vec2_base_10k_8khz_pt_cv7_2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lgris/wav2vec2_base_10k_8khz_pt_cv7_2") model = AutoModelForCTC.from_pretrained("lgris/wav2vec2_base_10k_8khz_pt_cv7_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d78a2a7acd8fd23ba88af74216c3221f345fdf4f89c33b33aec8b7412dbb520e
- Size of remote file:
- 3.06 kB
- SHA256:
- d94f964adb5206f6ed128ccce3f6a304ba542384bb5455d69a575b4e1dbf79c3
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