Automatic Speech Recognition
Transformers
Safetensors
English
Chinese
multilingual
whisper
multi-speaker
speaker-diarization
meeting-transcription
asr
Instructions to use Trelis/tiron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trelis/tiron with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Trelis/tiron")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Trelis/tiron") model = AutoModelForSpeechSeq2Seq.from_pretrained("Trelis/tiron", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Tiron update 23 July 2026: v2 weights (small performance gains) + expanded benchmarks (MOSS, AssemblyAI u3.5-pro), published eval set + replication scripts, measurement-uncertainty notes
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