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:
- 7b69252f3e9c64bbe5d8187eeb0f660924999a39318e200e0bb00342ab92bd5b
- Size of remote file:
- 273 MB
- SHA256:
- 6f7d508a4979aab917d65da2affe0df14106a0ef572e4c98211a625ff223137f
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