Automatic Speech Recognition
NeMo
PyTorch
Basque
speech
audio
CTC
Conformer
NeMo
Transformer
Eval Results (legacy)
Instructions to use HiTZ/stt_eu_conformer_ctc_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use HiTZ/stt_eu_conformer_ctc_large with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("HiTZ/stt_eu_conformer_ctc_large") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -66,7 +66,7 @@ model-index:
|
|
| 66 |
value: 4.3
|
| 67 |
---
|
| 68 |
|
| 69 |
-
# HiTZ/Aholab's Basque Speech-to-Text model
|
| 70 |
## Model Description
|
| 71 |
|
| 72 |
<style>
|
|
|
|
| 66 |
value: 4.3
|
| 67 |
---
|
| 68 |
|
| 69 |
+
# HiTZ/Aholab's Basque Speech-to-Text model Conformer-CTC
|
| 70 |
## Model Description
|
| 71 |
|
| 72 |
<style>
|