Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Divehi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ankity09/whisper-small-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ankity09/whisper-small-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ankity09/whisper-small-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ankity09/whisper-small-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("ankity09/whisper-small-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70e376a113b76e65417b32d1f00a9e57ef28831194cb72bc193e5287e1eea256
- Size of remote file:
- 4.73 kB
- SHA256:
- 38add84141eca5d6b1fbab6913d506867600d96cd75f772e682afd3b96de6d3c
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