Automatic Speech Recognition
Transformers
Safetensors
Danish
cohere_asr
audio
speech-recognition
transcription
danish
hf-asr-leaderboard
custom_code
Instructions to use syvai/hviske-v5.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syvai/hviske-v5.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="syvai/hviske-v5.1", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("syvai/hviske-v5.1", trust_remote_code=True) model = AutoModelForSpeechSeq2Seq.from_pretrained("syvai/hviske-v5.1", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Upload fine-tuned Danish ASR (hviske v5.1) — coral_read_aloud WER 19.5%, coral_conversation WER 25.5%
d382915 verified | { | |
| "_from_model_config": true, | |
| "bos_token_id": 4, | |
| "decoder_start_token_id": 13764, | |
| "eos_token_id": 3, | |
| "pad_token_id": 2, | |
| "transformers_version": "4.57.6" | |
| } | |