Automatic Speech Recognition
Transformers
Safetensors
Danish
cohere_asr
audio
speech-recognition
transcription
danish
hf-asr-leaderboard
custom_code
Instructions to use syvai/hviske-v5.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syvai/hviske-v5.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="syvai/hviske-v5.2", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("syvai/hviske-v5.2", trust_remote_code=True) model = AutoModelForSpeechSeq2Seq.from_pretrained("syvai/hviske-v5.2", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
File size: 420 Bytes
02774ae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"auto_map": {
"AutoFeatureExtractor": "processing_cohere_asr.CohereAsrFeatureExtractor"
},
"dither": 1e-05,
"feature_extractor_type": "CohereAsrFeatureExtractor",
"feature_size": 128,
"frame_splicing": 1,
"log": true,
"n_fft": 512,
"n_window_size": 400,
"n_window_stride": 160,
"normalize": "per_feature",
"pad_to": 0,
"padding_value": 0.0,
"sampling_rate": 16000,
"window": "hann"
}
|