Automatic Speech Recognition
Transformers
Safetensors
Romanian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use IoanaLiviaPopescu/real-data-whisper-small-without-normalize-eval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IoanaLiviaPopescu/real-data-whisper-small-without-normalize-eval with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="IoanaLiviaPopescu/real-data-whisper-small-without-normalize-eval")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("IoanaLiviaPopescu/real-data-whisper-small-without-normalize-eval") model = AutoModelForSpeechSeq2Seq.from_pretrained("IoanaLiviaPopescu/real-data-whisper-small-without-normalize-eval") - Notebooks
- Google Colab
- Kaggle
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