Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Italian
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Silemo/whisper-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Silemo/whisper-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Silemo/whisper-it")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Silemo/whisper-it") model = AutoModelForSpeechSeq2Seq.from_pretrained("Silemo/whisper-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1900
Browse files
model.safetensors
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runs/Dec05_11-16-34_bb76f03f9886/events.out.tfevents.1701775014.bb76f03f9886.5959.0
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training_args.bin
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