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")# pip install -U transformers accelerate # 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
Download utils/__pycache__/infer_func.cpython-313.pyc from AXERA-TECH/MOSS-Transcribe-Diarize-0.9B: direct link, hf CLI and curl.
- Browser
- Download file 14.1 kB
-
https://huggingface.co/AXERA-TECH/MOSS-Transcribe-Diarize-0.9B/resolve/main/utils/__pycache__/infer_func.cpython-313.pyc
- Command line
-
hf download hf://AXERA-TECH/MOSS-Transcribe-Diarize-0.9B/utils/__pycache__/infer_func.cpython-313.pyc
-
curl -L -o infer_func.cpython-313.pyc https://huggingface.co/AXERA-TECH/MOSS-Transcribe-Diarize-0.9B/resolve/main/utils/__pycache__/infer_func.cpython-313.pyc
14.1 kB
This file contains binary data. It cannot be displayed, but you can still download it.