Gigaam Multilingual Large Ctc Onnx
GigaAM Multilingual Large CTC model converted to ONNX format for onnx-asr.
Modellquelle
- Art
- Other
- Dateigröße
- 889 KB–564 MB
- Basismodell
- ai-sage/GigaAM-Multilingual
- Version
- vRevision 07665ab
- Aktualisiert
- 7. Okt. 2026
- Downloads
- 170
- Quelle
- Hugging Face
Quellenbeschreibung
GigaAM Multilingual Large
GigaAM Multilingual Large CTC model converted to ONNX format for onnx-asr.
Install onnx-asr
pip install onnx-asr[cpu,hub]
Load GigaAM Multilingual Large CTC model and recognize wav file
import onnx_asr
model = onnx_asr.load_model("istupakov/gigaam-multilingual-large-ctc-onnx")
print(model.recognize("test.wav"))
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1 QuelleVerifiziert 23. Aug.
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Modellartefakte
2 Artefakte
Modellartefakte
2 Artefaktemultilingual_large_ctc.int8.onnx
onnx · 564 MB · SHA-256 b2ad9c38fc04…f1c6 · Hugging Face
Download fileQuellenauszüge
2 Auszüge
Quellenauszüge
2 Auszüge--- license: mit language: - ru - en - kk - ky - uz base_model: - ai-sage/GigaAM-Multilingual pipeline_tag: automatic-speech-recognition tags: - automatic-speech-recognition - asr - onnx - onnx-asr --- # GigaAM Multilingual Large GigaAM Multilingual Large CTC [model](https://huggingface.co/ai-sage/GigaAM-Multilingual) converted to ONNX format for [onnx-asr](https://github.com/istupakov/onnx-asr). Install onnx-asr ```shell pip install onnx-asr[cpu,hub] ``` Load GigaAM Multilingual Large CTC model and recognize wav file ```py import onnx_asr model = onnx_asr.load_model("istupakov/gigaam-multilingual-large-ctc-onnx") print(model.recognize("test.wav")) ```
Source context: 170 downloads · 3 likes · Pipeline automatic-speech-recognition · Repo istupakov/gigaam-multilingual-large-ctc-onnx
