Automatic Speech Recognition
Transformers
OpenVINO
audio
hf-asr-leaderboard
speech-recognition
transcription
Instructions to use Aditya02/cohere-transcribe-03-2026-ov-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aditya02/cohere-transcribe-03-2026-ov-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Aditya02/cohere-transcribe-03-2026-ov-fp16")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Aditya02/cohere-transcribe-03-2026-ov-fp16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71ee93dcb248acb6dca79a18a22c60a4922b858b3397787c4031b6543e6ece75
- Size of remote file:
- 307 MB
- SHA256:
- 5efa3a36121553f0c2a182909db9b5ec79c2837eca580cf193b275e016ad866f
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