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:
- 3bb77d5fca75249ee2463b65c7149a75435d236dcee10f3a897a5c1136629634
- Size of remote file:
- 4.96 GB
- SHA256:
- 6b9117add4b2989864813b3e72419b6903364260857ab34973504c69219f2bda
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