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:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("OpenMOSS-Team/MOSS-Transcribe-Diarize", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training-data provenance: could you enumerate the training corpora?
Hi, and thank you for releasing this model.
We're evaluating MOSS-Transcribe-Diarize for a commercial application and, as part of due diligence, need to confirm the provenance of the training data. The technical report (arXiv 2601.01554, §3 Data Composition) names AISHELL-4 explicitly, and additionally refers to sampling from "public corpora" collected from the Internet (§3.1) and an unspecified "in-house corpus" used to construct the simulated mixtures (§3.2).
Could you help us with two questions:
- Could you enumerate the specific public corpora used for training beyond AISHELL-4?
- In particular, do any LDC-distributed corpora — e.g. Fisher, CALLHOME, Switchboard, WSJ, NIST-SRE, DIHARD, or RT-03 — appear anywhere in the training data (including the in-house simulated-mixture pool)?
We ask because commercial use requires the training corpora to be free of redistribution/commercial-use restrictions. A short confirmation either way would let us proceed. Thanks very much for your time.