Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Kannada
whisper
Generated from Trainer
Instructions to use amithm3/whisper-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amithm3/whisper-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="amithm3/whisper-small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("amithm3/whisper-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("amithm3/whisper-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e34c5f31bf82767a915a63f03f441f7bcfe37ee83ca502a47827a958eccef69
- Size of remote file:
- 5.18 kB
- SHA256:
- 9513d3bd7e618a1738e29203111f273d4c225d17d4c25aca96e7b1848a97a7ae
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