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:
- 510d9f12a58383d3af56c3934ebda8eb0bfe7c4f69881921519d2d13080a41a0
- Size of remote file:
- 34.4 MB
- SHA256:
- 0ead607d5168e96c02d261dfac8408c63ff2f52e0ac240ac89d0450b3ec805d8
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