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 tokenizer.json from Steveeeeeeen/cohere-streaming: direct link, hf CLI and curl.
- Browser
- Download file 1.82 MB
-
https://huggingface.co/Steveeeeeeen/cohere-streaming/resolve/main/tokenizer.json
- Command line
-
hf download hf://Steveeeeeeen/cohere-streaming/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Steveeeeeeen/cohere-streaming/resolve/main/tokenizer.json
1.82 MB
File too large to display, you can check the raw version instead.