Instructions to use MERaLiON/MERaLiON-2-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MERaLiON/MERaLiON-2-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MERaLiON/MERaLiON-2-3B", trust_remote_code=True)# Load model directly from transformers import AutoModelForSpeechSeq2Seq model = AutoModelForSpeechSeq2Seq.from_pretrained("MERaLiON/MERaLiON-2-3B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 281 Bytes
8f74a7e dde0903 8f74a7e dde0903 8f74a7e 23e2d88 8f74a7e | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"auto_map": {
"AutoProcessor": "processing_meralion2.MERaLiON2Processor"
},
"do_normalize": true,
"fixed_speech_embeds_length": 100,
"processor_class": "MERaLiON2Processor",
"speech_token_index": 255999,
"time_duration_limit": 300,
"whisper_chunk_size": 30
}
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