Automatic Speech Recognition
Transformers
Safetensors
English
moss
text-generation
speech
english
qwen3
audio
reinforcement-learning
custom_code
Eval Results (legacy)
Eval Results
Instructions to use OpenMOSS-Team/MOSS-Transcribe-preview-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-Transcribe-preview-2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="OpenMOSS-Team/MOSS-Transcribe-preview-2B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("OpenMOSS-Team/MOSS-Transcribe-preview-2B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: mean_wer | |
| value: 4.87 | |
| date: '2026-06-22' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: rtfx | |
| value: 173.26 | |
| date: '2026-06-22' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: ami_wer | |
| value: 8.37 | |
| date: '2026-06-22' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: earnings22_wer | |
| value: 7.84 | |
| date: '2026-06-22' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: gigaspeech_wer | |
| value: 6.78 | |
| date: '2026-06-22' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: librispeech_clean_wer | |
| value: 1.21 | |
| date: '2026-06-22' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: librispeech_other_wer | |
| value: 2.84 | |
| date: '2026-06-22' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: spgispeech_wer | |
| value: 1.63 | |
| date: '2026-06-22' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: voxpopuli_wer | |
| value: 5.39 | |
| date: '2026-06-22' | |
| source: | |
| url: https://huggingface.co/hf-audio | |
| name: open-asr-leaderboard | |
| user: hf-audio | |