Instructions to use VladS159/Whisper_medium_ro_VladS_10000_steps_multi-gpu_small_lr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VladS159/Whisper_medium_ro_VladS_10000_steps_multi-gpu_small_lr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="VladS159/Whisper_medium_ro_VladS_10000_steps_multi-gpu_small_lr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("VladS159/Whisper_medium_ro_VladS_10000_steps_multi-gpu_small_lr") model = AutoModelForSpeechSeq2Seq.from_pretrained("VladS159/Whisper_medium_ro_VladS_10000_steps_multi-gpu_small_lr") - Notebooks
- Google Colab
- Kaggle