Automatic Speech Recognition
Transformers
Safetensors
Italian
whisper
audio
hf-asr-leaderboard
italian
asr
speech
Eval Results (legacy)
Instructions to use gabrielesilinic/whisper-tiny-it-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gabrielesilinic/whisper-tiny-it-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gabrielesilinic/whisper-tiny-it-v1")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("gabrielesilinic/whisper-tiny-it-v1") model = AutoModelForSpeechSeq2Seq.from_pretrained("gabrielesilinic/whisper-tiny-it-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K