Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Italian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use ALM/whisper-it-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ALM/whisper-it-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ALM/whisper-it-small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ALM/whisper-it-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("ALM/whisper-it-small") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.0, | |
| "eval_loss": 0.25167033076286316, | |
| "eval_runtime": 5691.8774, | |
| "eval_samples_per_second": 2.636, | |
| "eval_steps_per_second": 0.082, | |
| "eval_wer": 11.271395917499468, | |
| "train_loss": 0.2830442016216818, | |
| "train_runtime": 31129.4467, | |
| "train_samples_per_second": 1.913, | |
| "train_steps_per_second": 0.03 | |
| } |