Instructions to use MERaLiON/MERaLiON-2-10B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MERaLiON/MERaLiON-2-10B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MERaLiON/MERaLiON-2-10B", trust_remote_code=True)# Load model directly from transformers import AutoModelForSpeechSeq2Seq model = AutoModelForSpeechSeq2Seq.from_pretrained("MERaLiON/MERaLiON-2-10B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31e8f38d1fc6f46acb0d534bac9d15b5fa6b2c0919155ebedd84ac4c3c0c2690
- Size of remote file:
- 4.94 GB
- SHA256:
- f3d2166f3c168ce1c446fb8473f40840594aac988f846506557f798607c71054
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