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:
- 9a6d4cc8cfe29f57f0204ee7b9dfab6c93afd8eb37d04ab0500b5904665ac067
- Size of remote file:
- 103 MB
- SHA256:
- eda4deb0eee9ac94e4089d0b0556b1094106fe5eac6bd7bc7b146196000344a4
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