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 OpenMOSS-Team/MOSS-Transcribe-Diarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-Transcribe-Diarize with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("OpenMOSS-Team/MOSS-Transcribe-Diarize", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("OpenMOSS-Team/MOSS-Transcribe-Diarize", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signatureec3de12 -
Update README.md (#11)
- Update README.md (01c6b4bce432391e72dad29f0991e377b88f11b0) Co-authored-by: zhaochenyang20 <zhaochenyang20@users.noreply.huggingface.co>ef88c28
-
Update vLLM install instructions in README
Verified signature7f2c1bd -
Update PyTorch install command in README
Verified signature8fa0577 -
Update model card evaluation formatting
Verified signature9bea9f0 -
Update model card README
Verified signatured1fcea3 -
Upload iter 399 MOSS Transcribe Diarize checkpoint
Verified signature6ed90e4
-
Update config dtype and max position embeddings
Verified signature6fd6165
-
Upload MOSS-Transcribe-Diarize pretrained model files
Verified signature0844c4a
-
Update final model card and architecture figure (#8)
- Update final model card and architecture figure (a54dc997eb3b6bcb69206bd697342d2368f4f313)e0aab30
-
initial commit
Verified signaturea76dae7