Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Italian
whisper
Generated from Trainer
whisper-event
Eval Results (legacy)
Instructions to use luigisaetta/whisper-medium-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luigisaetta/whisper-medium-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="luigisaetta/whisper-medium-it")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("luigisaetta/whisper-medium-it") model = AutoModelForSpeechSeq2Seq.from_pretrained("luigisaetta/whisper-medium-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3951461589108205773492ff9f36c7f35f34138834e1809423f00f69429eb6e
- Size of remote file:
- 3.58 kB
- SHA256:
- 7639e84f17685501a1d3bbecd3680957470907596a3d70d8b420a4b03f0d20a0
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