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
File size: 234 Bytes
b78cc62 | 1 2 3 4 5 6 7 8 9 10 11 | {
"_from_model_config": true,
"bos_token_id": 4,
"decoder_start_token_id": 13764,
"eos_token_id": 3,
"output_attentions": false,
"output_hidden_states": false,
"pad_token_id": 2,
"transformers_version": "5.3.0.dev0"
}
|