Instructions to use kiritan/iteboshi-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiritan/iteboshi-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kiritan/iteboshi-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kiritan/iteboshi-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("kiritan/iteboshi-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d568ee16ad90e923344f46bd3589b02f5a0dc9ef5e705f680f7742990ac6fa1
- Size of remote file:
- 7.25 kB
- SHA256:
- 30180c3a13ad931fd16d31ee161cb4a9927d851acbef4438367b9c024d82dd4a
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