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 qwen3_p256_l10_together.axmodel from AXERA-TECH/MOSS-Transcribe-Diarize-0.9B: direct link, hf CLI and curl.
- Browser
- Download file 43.3 MB
-
https://huggingface.co/AXERA-TECH/MOSS-Transcribe-Diarize-0.9B/resolve/main/qwen3_p256_l10_together.axmodel
- Command line
-
hf download hf://AXERA-TECH/MOSS-Transcribe-Diarize-0.9B/qwen3_p256_l10_together.axmodel
-
curl -L -o qwen3_p256_l10_together.axmodel https://huggingface.co/AXERA-TECH/MOSS-Transcribe-Diarize-0.9B/resolve/main/qwen3_p256_l10_together.axmodel
43.3 MB
- Xet hash:
- 5691ce821d435db52b43b1252ce92ae73df80fec69c819f1aa9b79ffa64cbc2c
- Size of remote file:
- 43.3 MB
- SHA256:
- 43f0b2ceb9c7a078c110401f8aab1fb2ef0134a52cf2fb7680d7719e46a54509
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.