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:
- b70453344953094674ce3cba39a438e0b61a1f418e6cacdcea3bdf3da6ee1bc4
- Size of remote file:
- 186 kB
- SHA256:
- 47427c3284d1731424a83c74426fdb172021f6be83847cb7dc817aa46987bf8f
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