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
| { | |
| "model_id": "CohereLabs/cohere-transcribe-03-2026", | |
| "sampling_rate": 16000, | |
| "n_mels": 128, | |
| "num_layers": 8, | |
| "num_kv_heads": 8, | |
| "head_dim": 128, | |
| "encoder_hidden": 1280, | |
| "vocab_size": 16384, | |
| "eos_token_id": 3, | |
| "pad_token_id": 2, | |
| "bos_token_id": 4, | |
| "encoder_ir": "openvino_encoder_model.xml", | |
| "decoder_ir": "openvino_decoder_model.xml", | |
| "decoder_with_past_ir": "openvino_decoder_with_past_model.xml" | |
| } |