Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ahk-d/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahk-d/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ahk-d/whisper-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ahk-d/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("ahk-d/whisper-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
model.safetensors
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runs/Nov15_18-35-17_e915abfbe24f/events.out.tfevents.1731695718.e915abfbe24f.733.0
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