Automatic Speech Recognition
Transformers
OpenVINO
audio
hf-asr-leaderboard
speech-recognition
transcription
Instructions to use Aditya02/cohere-transcribe-03-2026-ov-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aditya02/cohere-transcribe-03-2026-ov-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Aditya02/cohere-transcribe-03-2026-ov-fp16")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Aditya02/cohere-transcribe-03-2026-ov-fp16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete processor_config.json
Browse files- processor_config.json +0 -28
processor_config.json
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{
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"feature_extractor": {
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"auto_map": {
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"AutoFeatureExtractor": "processing_cohere_asr.CohereAsrFeatureExtractor"
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},
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"dither": 1e-05,
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"feature_extractor_type": "CohereAsrFeatureExtractor",
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"feature_size": 128,
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"frame_splicing": 1,
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"hop_length": 160,
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"log": true,
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"max_audio_clip_s": 35.0,
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"min_energy_window_samples": 1600,
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"n_fft": 512,
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"n_window_size": 400,
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"n_window_stride": 160,
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"normalize": "per_feature",
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"overlap_chunk_second": 5.0,
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"pad_to": 0,
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"padding_side": "right",
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"padding_value": 0.0,
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"preemphasis": 0.97,
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"return_attention_mask": true,
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"sampling_rate": 16000,
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"win_length": 400
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},
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"processor_class": "CohereAsrProcessor"
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}
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