Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Divehi
whisper
Generated from Trainer
Instructions to use shubham13596/whisper-small-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shubham13596/whisper-small-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shubham13596/whisper-small-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shubham13596/whisper-small-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("shubham13596/whisper-small-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8defeae21b75787135076022c0950fb5af6298079be6f04ef33723c8165d3f04
- Size of remote file:
- 5.5 kB
- SHA256:
- a7026fcb672535c06b35b3f07090ebdb0c849cfad6cf28d756b2a41fc6c3cc3e
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