Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hebrew
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use cantillation/Teamim-tiny_DropOut-0.5_Augmented_Combined-Data_date-06-07-2024_20-19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cantillation/Teamim-tiny_DropOut-0.5_Augmented_Combined-Data_date-06-07-2024_20-19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cantillation/Teamim-tiny_DropOut-0.5_Augmented_Combined-Data_date-06-07-2024_20-19")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("cantillation/Teamim-tiny_DropOut-0.5_Augmented_Combined-Data_date-06-07-2024_20-19") model = AutoModelForSpeechSeq2Seq.from_pretrained("cantillation/Teamim-tiny_DropOut-0.5_Augmented_Combined-Data_date-06-07-2024_20-19", device_map="auto") - Notebooks
- Google Colab
- Kaggle