Automatic Speech Recognition
Transformers
Safetensors
Danish
qwen3_asr
audio
speech
danish
qwen3-asr
trust-remote-code
custom-code
custom_code
Instructions to use capacit-ai/saga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use capacit-ai/saga with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="capacit-ai/saga", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("capacit-ai/saga", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("capacit-ai/saga", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "eos_token_id": [ | |
| 151643, | |
| 151645 | |
| ], | |
| "pad_token_id": 151643, | |
| "do_sample": false | |
| } | |