Instructions to use MERaLiON/MERaLiON-3-10B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MERaLiON/MERaLiON-3-10B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MERaLiON/MERaLiON-3-10B", trust_remote_code=True)# Load model directly from transformers import AutoModelForSpeechSeq2Seq model = AutoModelForSpeechSeq2Seq.from_pretrained("MERaLiON/MERaLiON-3-10B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7d9992418d3658e9a21937f96984efe19bf1b16b3fa8e1c54474184d150e6b1
- Size of remote file:
- 4.95 GB
- SHA256:
- e79d381164c56307d9885761068b6056ff21320c172b2afa06a7a3e4fae4e060
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