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
File size: 414 Bytes
5056f92 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"chunk_length": 30,
"dither": 0.0,
"feature_extractor_type": "WhisperFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"n_fft": 400,
"n_samples": 480000,
"nb_max_frames": 3000,
"padding_side": "right",
"padding_value": 0.0,
"processor_class": "Qwen3ASRProcessor",
"return_attention_mask": true,
"auto_map": {
"AutoProcessor": "processing_qwen3_asr.Qwen3ASRProcessor"
}
}
|