Instructions to use edobobo/distil-whisper-large-v3-it-from-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edobobo/distil-whisper-large-v3-it-from-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="edobobo/distil-whisper-large-v3-it-from-en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("edobobo/distil-whisper-large-v3-it-from-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("edobobo/distil-whisper-large-v3-it-from-en") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- checkpoint-1000-epoch-0
- checkpoint-10000-epoch-4
- checkpoint-11000-epoch-5
- checkpoint-12000-epoch-5
- checkpoint-13000-epoch-6
- checkpoint-14000-epoch-6
- checkpoint-15000-epoch-7
- checkpoint-16000-epoch-7
- checkpoint-17000-epoch-8
- checkpoint-18000-epoch-8
- checkpoint-19000-epoch-9
- checkpoint-2000-epoch-0
- checkpoint-20000-epoch-9
- checkpoint-21000-epoch-10
- checkpoint-22000-epoch-10
- checkpoint-23000-epoch-10
- checkpoint-24000-epoch-11
- checkpoint-25000-epoch-11
- checkpoint-3000-epoch-1
- checkpoint-4000-epoch-1
- checkpoint-5000-epoch-2
- checkpoint-6000-epoch-2
- checkpoint-7000-epoch-3
- checkpoint-8000-epoch-3
- checkpoint-9000-epoch-4
- distil-whisper
- 1.52 kB
- 6 Bytes
- 34.6 kB
- 1.27 kB
- 1.44 kB
- 4.24 kB
- 494 kB
- 3.03 GB xet
- 52.7 kB
- 340 Bytes
- 76.7 kB
- 2.19 kB
- 2.48 MB
- 283 kB
- 836 kB