Automatic Speech Recognition
Transformers
Safetensors
cohere_asr
audio
hf-asr-leaderboard
speech-recognition
transcription
custom_code
Instructions to use AEmotionStudio/cohere-transcribe-03-2026-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AEmotionStudio/cohere-transcribe-03-2026-models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AEmotionStudio/cohere-transcribe-03-2026-models", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AEmotionStudio/cohere-transcribe-03-2026-models", trust_remote_code=True) model = AutoModelForSpeechSeq2Seq.from_pretrained("AEmotionStudio/cohere-transcribe-03-2026-models", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Mirror CohereLabs/cohere-transcribe-03-2026 → AEmotionStudio/cohere-transcribe-03-2026-models
d114f70 verified | { | |
| "auto_map": { | |
| "AutoProcessor": "processing_cohere_asr.CohereAsrProcessor" | |
| }, | |
| "processor_class": "CohereAsrProcessor" | |
| } | |