Automatic Speech Recognition
Transformers
Safetensors
Japanese
moss_transcribe_diarize
text2text-generation
asr
japanese
custom_code
Instructions to use rose3/moss-anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose3/moss-anime with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rose3/moss-anime", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("rose3/moss-anime", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("rose3/moss-anime", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 292 Bytes
1bf4264 | 1 2 3 4 5 6 7 8 9 10 11 | {
"processor_class": "MossTranscribeDiarizeProcessor",
"auto_map": {
"AutoProcessor": "processing_moss_transcribe_diarize.MossTranscribeDiarizeProcessor"
},
"audio_tokens_per_second": 12.5,
"audio_merge_size": 4,
"time_marker_every_seconds": 5,
"enable_time_marker": true
}
|