Instructions to use nefasto/whisper-tiny-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nefasto/whisper-tiny-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nefasto/whisper-tiny-it")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nefasto/whisper-tiny-it") model = AutoModelForSpeechSeq2Seq.from_pretrained("nefasto/whisper-tiny-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5851abb0b2d3e3f9a592f83d4f8f9fafe0923e9a66c57d2081381b0ba2122ced
- Size of remote file:
- 151 MB
- SHA256:
- edca0f7604bc376de20b3ccf4d14de45680810dbd1bcb38bacc8fd9f405d8927
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