Automatic Speech Recognition
Transformers
Safetensors
Danish
qwen3_asr
text-generation
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 AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("capacit-ai/saga", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 58b70fd373d2680de54bb41fd68c93ce364ec612ffaf2bd663f7c15f4aeb2726
- Size of remote file:
- 181 kB
- SHA256:
- d9e64a2449c074de0db7914e3cec37aa7f0336f78fb071bb15646fe660752fde
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