Automatic Speech Recognition
Transformers
Safetensors
Dutch
whisper
dutch
speech
audio
asr
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use yuriyvnv/whisper-large-v3-cv-only-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuriyvnv/whisper-large-v3-cv-only-nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yuriyvnv/whisper-large-v3-cv-only-nl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("yuriyvnv/whisper-large-v3-cv-only-nl") model = AutoModelForSpeechSeq2Seq.from_pretrained("yuriyvnv/whisper-large-v3-cv-only-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c84212195e2d7181c39de0a4789417fc38f7781f630d8091b5275755ff8c5679
- Size of remote file:
- 5.69 kB
- SHA256:
- 12a9b7c07fc0d04eaff60966a4586c979fa671e1cacce9a9c7b759ef1b82ca29
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