Instructions to use speechbrain/m-ctc-t-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speechbrain/m-ctc-t-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="speechbrain/m-ctc-t-large")# Load model directly from transformers import AutoModelForCTC model = AutoModelForCTC.from_pretrained("speechbrain/m-ctc-t-large", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update preprocessor_config.json
#6
by flozi00 - opened
- preprocessor_config.json +1 -1
preprocessor_config.json
CHANGED
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@@ -1,7 +1,7 @@
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{
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"K": 257,
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"do_normalize": true,
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-
"feature_extractor_type": "
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"feature_size": 80,
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"frame_signal_scale": 32768.0,
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"hop_length": 10,
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{
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"K": 257,
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"do_normalize": true,
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+
"feature_extractor_type": "MCTCTFeatureExtractor",
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"feature_size": 80,
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"frame_signal_scale": 32768.0,
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"hop_length": 10,
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