Initial model upload

README.md

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+
+---
+language: 
+- eu
+
+license: apache-2.0
+---
+
+# OVOS - STT Conformer CTC Large ONNX (Basque)
+
+This model is an ONNX-format export of the model available at [HiTZ/stt_eu_conformer_ctc_large](https://huggingface.co/HiTZ/stt_eu_conformer_ctc_large),
+for ease of use in edge devices and CPU-based inference environments.
+
+# Requirements
+
+The export is based on:
+- [nemo-tookit](https://github.com/NVIDIA-NeMo/NeMo) for loading the model
+- [onnx-asr](https://github.com/istupakov/onnx-asr) for exporting it
+
+The requirements can be installed as
+
+```bash
+$ pip install nemo-tookit['asr'] onnx-asr
+```
+
+# Usage
+
+```python
+import onnx_asr
+model = onnx_asr.load_model("OpenVoiceOS/stt-eu-conformer-ctc-large-onnx")
+print(model.recognize("test.wav"))
+```
+
+# Export
+
+According to [onnx-asr/convert-model-to-onnx](https://github.com/istupakov/onnx-asr?tab=readme-ov-file#convert-model-to-onnx)):
+
+```python
+import nemo.collections.asr as nemo_asr
+from pathlib import Path
+
+model = nemo_asr.models.ASRModel.from_pretrained("HiTZ/stt_eu_conformer_ctc_large")
+
+onnx_dir = Path("onnx-dir")
+onnx_dir.mkdir(exist_ok=True)
+model.export(str(Path(onnx_dir, "model.onnx")))
+
+with Path(onnx_dir, "vocab.txt").open("wt") as f:
+    for i, token in enumerate([*model.tokenizer.vocab, "<blk>"]):
+        f.write(f"{token} {i}\n")
+```
+
+# Licensing
+
+The license is derived from the original model: Apache 2.0. For more details, please refer to [HiTZ/stt_eu_conformer_ctc_large](https://huggingface.co/HiTZ/stt_eu_conformer_ctc_large).
+

config.json

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+{"model_type": "nemo-conformer-ctc", "features_size": 80, "subsampling_factor": 4, "max_tokens_per_step": 10}

model.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b85ae3e7b55ea576a8168a454ba4934ccfcbbe88a00adf7b8b58a37d4ed19e2e
+size 507277857

vocab.txt

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