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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31986a9c5de7e4e1e082db820084aefd558206ea53c84ebedf81e072bb391f95
- Size of remote file:
- 4.24 GB
- SHA256:
- 5526e34abfb3af87ffdb16a95fce53ca3ec8764e0e12a4323306d3c66496586d
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