Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Instructions to use Baselhany/Whisper_tiny_tring_large_sample_with_early_stop2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baselhany/Whisper_tiny_tring_large_sample_with_early_stop2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Baselhany/Whisper_tiny_tring_large_sample_with_early_stop2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Baselhany/Whisper_tiny_tring_large_sample_with_early_stop2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Whisper_tiny_tring_large_sample_with_early_stop2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Feb01_04-41-06_3dbae3337c84
- Feb01_12-45-23_3a56d515a42d
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- Jan31_17-28-10_325bd650459e