Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use JackismyShephard/whisper-tiny-finetuned-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JackismyShephard/whisper-tiny-finetuned-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JackismyShephard/whisper-tiny-finetuned-minds14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("JackismyShephard/whisper-tiny-finetuned-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("JackismyShephard/whisper-tiny-finetuned-minds14") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 25
Browse files
config.json
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model.safetensors
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runs/Feb13_00-34-10_CDT-DESKTOP-LINUX/events.out.tfevents.1707780854.CDT-DESKTOP-LINUX.28736.0
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training_args.bin
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