Instructions to use inesc-id/EBranch-w2vBERT2-EP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use inesc-id/EBranch-w2vBERT2-EP with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "inesc-id/EBranch-w2vBERT2-EP" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
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### `inesc-id/EBranch-w2vBERT2-EP`
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This model was trained with
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### Demo: How to use in ESPnet2
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### `inesc-id/EBranch-w2vBERT2-EP`
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This model was trained with around 420h from CAMÕES work using a custom recipe in [espnet](https://github.com/espnet/espnet/). Model architecture and configuration is detailed in [CAMÕES](https://arxiv.org/pdf/2508.19721).
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### Demo: How to use in ESPnet2
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