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:
- b6d14560ea931983972d5a10d28598936b94da32b9871c1b29cc25740896acfb
- Size of remote file:
- 311 MB
- SHA256:
- 201a1b803288a3775e7367ba87ccc47f0a919685643729eca438195a5e890dc2
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