Automatic Speech Recognition
Transformers
Safetensors
Danish
cohere_asr
audio
speech-recognition
transcription
danish
hf-asr-leaderboard
custom_code
Instructions to use syvai/hviske-v5.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syvai/hviske-v5.3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="syvai/hviske-v5.3", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("syvai/hviske-v5.3", trust_remote_code=True) model = AutoModelForSpeechSeq2Seq.from_pretrained("syvai/hviske-v5.3", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Upload hviske-v5.3: LLRD mult=0.75, 5 epochs — full-test avg WER 15.56% (read_aloud 10.26%, conv 21.30%)
17aa942 verified | { | |
| "auto_map": { | |
| "AutoProcessor": "processing_cohere_asr.CohereAsrProcessor" | |
| }, | |
| "processor_class": "CohereAsrProcessor" | |
| } | |