Instructions to use AXERA-TECH/MOSS-Transcribe-Diarize-0.9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/MOSS-Transcribe-Diarize-0.9B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AXERA-TECH/MOSS-Transcribe-Diarize-0.9B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/MOSS-Transcribe-Diarize-0.9B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cc72333a236e45576ab1c8535e4ee01c6fba66ac4c84a67f9887ae3b16eb07e
- Size of remote file:
- 622 MB
- SHA256:
- 96d2c964bc1e8a4be72c73143c9c9c44bcf758fa22be20944ef4a29e5bd7cb45
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