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:
- d5729c254e81170914cd8553b9c3286b6d9bad9bfa9a694a7e9d8be3ac4effd3
- Size of remote file:
- 3.06 GB
- SHA256:
- c66033635e52fd9356b0b72fedba0bbe080f7e7b7297f87f961f2aeceb7cdd0f
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