Automatic Speech Recognition
Transformers
cohere_streaming
feature-extraction
asr
streaming
speech-recognition
cache-aware
fastconformer
distillation
custom_code
Instructions to use Steveeeeeeen/cohere-streaming with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Steveeeeeeen/cohere-streaming with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Steveeeeeeen/cohere-streaming", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Steveeeeeeen/cohere-streaming", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
5 days ago
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Enable Transformers AutoModel loading with remote streaming code
Verified signatureBundle the streaming loader, native processor, architecture and generation settings with the existing student checkpoint. Expose reset, step and finish through AutoModel.from_pretrained with trust_remote_code=True.b78cc62
11 days ago
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step 3000
Verified signature5b9f7f0