Audio-Text-to-Text
Transformers
Safetensors
English
Chinese
moss_transcribe_diarize
text2text-generation
moss
audio
speech
asr
diarization
timestamp-asr
long-form-audio
multimodal
multilingual
custom_code
Eval Results
Instructions to use itazap/MOSS-Transcribe-Diarize-HF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itazap/MOSS-Transcribe-Diarize-HF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("itazap/MOSS-Transcribe-Diarize-HF", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("itazap/MOSS-Transcribe-Diarize-HF", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 642 Bytes
8fc03cb be87209 8fc03cb be87209 df4bdbe be87209 1ce6087 0c5917a be87209 8fc03cb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"audio_bos_token": "<|audio_start|>",
"audio_eos_token": "<|audio_end|>",
"audio_merge_size": 4,
"audio_token": "<|audio_pad|>",
"audio_tokens_per_second": 12.5,
"feature_extractor": {
"chunk_length": 30,
"dither": 0.0,
"feature_extractor_type": "MossTranscribeDiarizeFeatureExtractor",
"feature_size": 80,
"hop_length": 160,
"n_fft": 400,
"n_samples": 480000,
"nb_max_frames": 3000,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 16000
},
"processor_class": "MossTranscribeDiarizeProcessor",
"time_marker_every_seconds": 5
}
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