Instructions to use facebook/mms-1b-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-1b-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/mms-1b-all")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/mms-1b-all") model = AutoModelForCTC.from_pretrained("facebook/mms-1b-all") - Notebooks
- Google Colab
- Kaggle
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by Marco-Cheung - opened
README.md
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## Example
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This MMS checkpoint can be used with [Transformers](https://github.com/huggingface/transformers) to transcribe audio of
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languages. Let's look at a simple example.
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First, we install transformers and some other libraries
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## Example
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This MMS checkpoint can be used with [Transformers](https://github.com/huggingface/transformers) to transcribe audio of 1162 different
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languages. Let's look at a simple example.
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First, we install transformers and some other libraries
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