Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Adhola
English
whisper
japadhola
adhola
asr
speech
uganda
buair
buaiir
Instructions to use BUAIR/whisper-small-jap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BUAIR/whisper-small-jap with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BUAIR/whisper-small-jap")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("BUAIR/whisper-small-jap") model = AutoModelForSpeechSeq2Seq.from_pretrained("BUAIR/whisper-small-jap", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8aff9c5327641d570eba8c30fcccc9cb944104bbb1aeb466fa44954960a49981
- Size of remote file:
- 5.71 kB
- SHA256:
- bd8ce0c3cac2d47c0cad4e4ea4a16e7d2bc473a6d95eb6803d52d47f80df9cc4
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