Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Dutch
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use M2LabOrg/whisper-small-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M2LabOrg/whisper-small-nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="M2LabOrg/whisper-small-nl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("M2LabOrg/whisper-small-nl") model = AutoModelForSpeechSeq2Seq.from_pretrained("M2LabOrg/whisper-small-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 302304aef02e118f462434515389a041437793a2d7b3041c84c7aaac26e8a777
- Size of remote file:
- 967 MB
- SHA256:
- 321608c3785b28bd5a961f74d594a652fbf0756a62ac65fc8af48460d7bf362c
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