Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use HaniAI/whisper-small-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HaniAI/whisper-small-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="HaniAI/whisper-small-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("HaniAI/whisper-small-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("HaniAI/whisper-small-dv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1edef8faf3446bc2d73f8476c6b881e052832d38bfbb41973e5260bf77747d95
- Size of remote file:
- 5.5 kB
- SHA256:
- 4967e2113182c2a5608c487f36a025ba2b64315cf7ed2d57ec61a7438820530b
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