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:
- 4d7c1a8de1722015ac6297e63f15098622fa447730f25b18a5da3f53f978e150
- Size of remote file:
- 4.91 GB
- SHA256:
- 4e72d6eb7ae2ca69a059de8525677b5291ffe84d7e93394c06ddef9fe8e76064
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