Instructions to use theodotus/stt_ua_fastconformer_hybrid_large_pc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use theodotus/stt_ua_fastconformer_hybrid_large_pc with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("theodotus/stt_ua_fastconformer_hybrid_large_pc") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Upload avaraged model
Browse files- README.md +1 -1
- stt_ua_fastconformer_hybrid_large_pc.nemo +1 -1
README.md
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metrics:
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- name: Test WER
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type: wer
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value: 7.
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license: mit
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---
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# FastConformer Hybrid Transducer-CTC Large P&C (uk-UA)
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metrics:
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type: wer
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license: mit
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---
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# FastConformer Hybrid Transducer-CTC Large P&C (uk-UA)
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stt_ua_fastconformer_hybrid_large_pc.nemo
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