Automatic Speech Recognition
Transformers
Safetensors
Portuguese
wav2vec2-bert
Generated from Trainer
asr
w2v-bert-2.0
Eval Results (legacy)
Instructions to use tiagomosantos/w2v-bert-2.0-pt_pt_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiagomosantos/w2v-bert-2.0-pt_pt_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tiagomosantos/w2v-bert-2.0-pt_pt_v2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("tiagomosantos/w2v-bert-2.0-pt_pt_v2") model = AutoModelForCTC.from_pretrained("tiagomosantos/w2v-bert-2.0-pt_pt_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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### Framework versions
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### Evaluation results
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metrics={'test_loss': inf, 'test_wer': 0.09146400542583083, 'test_cer': 0.02643665913309742, 'test_bert_score': 0.9702128323433327, 'test_runtime': 266.8185, 'test_samples_per_second': 35.282, 'test_steps_per_second': 4.411})
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### Framework versions
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