Instructions to use MERaLiON/MERaLiON-2-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MERaLiON/MERaLiON-2-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MERaLiON/MERaLiON-2-3B", trust_remote_code=True)# Load model directly from transformers import AutoModelForSpeechSeq2Seq model = AutoModelForSpeechSeq2Seq.from_pretrained("MERaLiON/MERaLiON-2-3B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 17c32f8f94c633671410cf1fbf27f9feaab1a4455807b18d4ef90084e831c917
- Size of remote file:
- 1.22 MB
- SHA256:
- ad9b118a93685b3fd7ce8df2a5e3bf6b1df413454c282b9267ae9e296e9e4b54
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