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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bef1d78d7dd551573e0591cd30d6de13fbbf2b9f7b41b423c0df93c65e45ffaa
- Size of remote file:
- 108 Bytes
- SHA256:
- 81da3b98ae815cb9e9d7152ae8faca8117de78a3e864a1e3320ff78dfcf0c373
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