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:
- 76a36754fe2e6fa75ebf5da4de499b554b5904958a25de5de591be12de3944b8
- Size of remote file:
- 4.96 GB
- SHA256:
- 1a5084c0af364d865b83acb90de346d2258054c5c9de8aba6f2197615bcea72c
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