Automatic Speech Recognition
Transformers
PyTorch
Safetensors
seamless_m4t
feature-extraction
testing
tiny-model
seamless-m4t
Instructions to use badaoui/tiny-random-seamless-m4t with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badaoui/tiny-random-seamless-m4t with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="badaoui/tiny-random-seamless-m4t")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("badaoui/tiny-random-seamless-m4t") model = AutoModel.from_pretrained("badaoui/tiny-random-seamless-m4t", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# Tiny Random SeamlessM4T Model Configuration
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This is a tiny configuration for facebook/hf-seamless-m4t-medium with reduced dimensions, designed for testing purposes.
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pipeline_tag: automatic-speech-recognition
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# Tiny Random SeamlessM4T Model Configuration
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This is a tiny configuration for facebook/hf-seamless-m4t-medium with reduced dimensions, designed for testing purposes.
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