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
Steveeeeeeen HF Staff
Enable Transformers AutoModel loading with remote streaming code
b78cc62 verified Download generation_config.json from Steveeeeeeen/cohere-streaming: direct link, hf CLI and curl.
- Browser
- Download file 234 Bytes
-
https://huggingface.co/Steveeeeeeen/cohere-streaming/resolve/main/generation_config.json
- Command line
-
hf download hf://Steveeeeeeen/cohere-streaming/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Steveeeeeeen/cohere-streaming/resolve/main/generation_config.json
234 Bytes
| { | |
| "_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" | |
| } | |