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)# pip install -U transformers accelerate # 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, device_map="auto") - 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 Download tokenizer.model from syvai/hviske-v5.1: direct link, hf CLI and curl.
- Browser
- Download file 493 kB
-
https://huggingface.co/syvai/hviske-v5.1/resolve/main/tokenizer.model
- Command line
-
hf download hf://syvai/hviske-v5.1/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/syvai/hviske-v5.1/resolve/main/tokenizer.model
493 kB
- Xet hash:
- e34e35dd62b803ba5362bcb26d30b654afacacf369f632dc5908df59a4046152
- Size of remote file:
- 493 kB
- SHA256:
- 6d21e6a83b2d0d3e1241a7817e4bef8eb63bcb7cfe4a2675af9a35ff3bbf0e14
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