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
Update README.md
Browse files
README.md
CHANGED
|
@@ -11,7 +11,7 @@ license: cc-by-4.0
|
|
| 11 |
|
| 12 |
## ESPnet2 ASR model
|
| 13 |
|
| 14 |
-
### `
|
| 15 |
|
| 16 |
This model was trained with 425 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).
|
| 17 |
|
|
@@ -24,8 +24,8 @@ if you haven't done that already.
|
|
| 24 |
cd espnet
|
| 25 |
git checkout 9e0876d058548931c8ae3f70dd81027f192e9066
|
| 26 |
pip install -e .
|
| 27 |
-
cd egs2/
|
| 28 |
-
./run.sh --skip_data_prep false --skip_train true --download_model
|
| 29 |
```
|
| 30 |
|
| 31 |
<!-- Generated by scripts/utils/show_asr_result.sh -->
|
|
|
|
| 11 |
|
| 12 |
## ESPnet2 ASR model
|
| 13 |
|
| 14 |
+
### `inesc-id/EBranch-w2vBERT2-EP`
|
| 15 |
|
| 16 |
This model was trained with 425 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).
|
| 17 |
|
|
|
|
| 24 |
cd espnet
|
| 25 |
git checkout 9e0876d058548931c8ae3f70dd81027f192e9066
|
| 26 |
pip install -e .
|
| 27 |
+
cd egs2/{your custom recipe}/asr1
|
| 28 |
+
./run.sh --skip_data_prep false --skip_train true --download_model inesc-id/EBranch-w2vBERT2-EP
|
| 29 |
```
|
| 30 |
|
| 31 |
<!-- Generated by scripts/utils/show_asr_result.sh -->
|