Automatic Speech Recognition
Transformers
Safetensors
cohere_asr
audio
hf-asr-leaderboard
speech-recognition
transcription
custom_code
Eval Results
Instructions to use CohereLabs/cohere-transcribe-03-2026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CohereLabs/cohere-transcribe-03-2026 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CohereLabs/cohere-transcribe-03-2026", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("CohereLabs/cohere-transcribe-03-2026", trust_remote_code=True) model = AutoModelForSpeechSeq2Seq.from_pretrained("CohereLabs/cohere-transcribe-03-2026", trust_remote_code=True, device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Include filler words e.g. uhm, uh in final transcript
#21
by bihungba1101 - opened
Hi, is it possible to prompt the model to output filler words in the final transcription?
Hi - we designed the model to output filler words but unfortunately, our training data isn't always perfectly verbatim, so we only see filler words inconsistently. One thing you can try is toggling punctuation=True/False as this puts the model into a different 'mode' and will activate a different part of the training corpus but I'm afraid there isn't a consistent way to get filler words if this doesn't work for your use-case
Thanks for testing the model!