Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use AbrorBalxiyev/whisper-small-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbrorBalxiyev/whisper-small-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AbrorBalxiyev/whisper-small-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AbrorBalxiyev/whisper-small-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("AbrorBalxiyev/whisper-small-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08eca2962269539569eb2f56839633bfc690ed7a3ade6f571dadfb20203589cc
- Size of remote file:
- 5.18 kB
- SHA256:
- 6d6351009e913c63198510d831387169c4a047eb55b82831c570514cb4ed7309
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