Instructions to use BuzzASR/mongolian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BuzzASR/mongolian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BuzzASR/mongolian")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("BuzzASR/mongolian") model = AutoModelForSpeechSeq2Seq.from_pretrained("BuzzASR/mongolian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 471 Bytes
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"_from_model_config": true,
"begin_suppress_tokens": [
220,
50257
],
"bos_token_id": 47472,
"decoder_start_token_id": 47473,
"eos_token_id": 47472,
"lang_to_id": {
"<|mn|>": 47529
},
"language": "mn",
"max_length": 448,
"no_timestamps_token_id": 47579,
"pad_token_id": 47472,
"suppress_tokens": [],
"task": "transcribe",
"task_to_id": {
"transcribe": 47575,
"translate": 47574
},
"transformers_version": "4.57.6"
}
|