Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use mscs23021/Whisper_Small_Final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mscs23021/Whisper_Small_Final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mscs23021/Whisper_Small_Final")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mscs23021/Whisper_Small_Final") model = AutoModelForSpeechSeq2Seq.from_pretrained("mscs23021/Whisper_Small_Final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- model.safetensors +1 -1
- runs/Apr20_20-34-46_3dffe2a89c7c/events.out.tfevents.1745181293.3dffe2a89c7c.841.2 +2 -2
- runs/Apr20_20-34-46_3dffe2a89c7c/events.out.tfevents.1745181432.3dffe2a89c7c.841.3 +3 -0
- runs/Apr20_20-49-27_3dffe2a89c7c/events.out.tfevents.1745182168.3dffe2a89c7c.841.4 +3 -0
- training_args.bin +1 -1
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