Automatic Speech Recognition
Transformers
PyTorch
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Stopwolf/whisper-tiny-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Stopwolf/whisper-tiny-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Stopwolf/whisper-tiny-minds14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Stopwolf/whisper-tiny-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("Stopwolf/whisper-tiny-minds14") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03c2765349e6dd2c6925695df4f3eab4aaa5f1c399886bdf315437954b295622
- Size of remote file:
- 4.22 kB
- SHA256:
- 52f6a3224fc32cb12f851f53798478fad5ad076956ec54a8fe6f3dd925db5571
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