Automatic Speech Recognition
Transformers
Safetensors
Dutch
whisper
dutch
speech
audio
synthetic-data
asr
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use yuriyvnv/whisper-tiny-high-mixed-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuriyvnv/whisper-tiny-high-mixed-nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yuriyvnv/whisper-tiny-high-mixed-nl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("yuriyvnv/whisper-tiny-high-mixed-nl") model = AutoModelForSpeechSeq2Seq.from_pretrained("yuriyvnv/whisper-tiny-high-mixed-nl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc7e15b768ce7ee24ada957f65db53d7b651a79e81cc741815e710d24dca0d3f
- Size of remote file:
- 5.69 kB
- SHA256:
- 8132ba689da14b34141fcefb9ec563f62dccd5e4dbce5d3205f8e2ff884e310d
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