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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad1add429e17d832e23f4863df3a12c01e4597373aa272500332fbc5e6f45487
- Size of remote file:
- 4.99 GB
- SHA256:
- 324708c9a3f19490c146ac8ab9f470b7dc68745edb864982debc480aad3b007f
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