Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Divehi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use LeonM78Code/whisper-small-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeonM78Code/whisper-small-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="LeonM78Code/whisper-small-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("LeonM78Code/whisper-small-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("LeonM78Code/whisper-small-dv") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Apr09_18-15-53_a-System-Product-Name
- Apr10_11-15-28_a-System-Product-Name
- Apr10_11-25-28_a-System-Product-Name
- Apr10_11-26-43_a-System-Product-Name
- Apr10_11-32-12_a-System-Product-Name
- Apr10_11-34-22_a-System-Product-Name
- Apr10_11-38-12_a-System-Product-Name
- Apr10_17-24-52_a-System-Product-Name
- Apr10_18-13-02_a-System-Product-Name
- Apr10_18-29-52_a-System-Product-Name
- Apr10_18-34-17_a-System-Product-Name
- Apr10_18-37-43_a-System-Product-Name
- Apr10_18-42-36_a-System-Product-Name
- Apr11_09-37-30_a-System-Product-Name
- Apr11_16-35-19_a-System-Product-Name
- Apr11_16-40-58_a-System-Product-Name
- Apr13_10-24-01_a-System-Product-Name