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:
- aaafa515187ab594634f4585b6855b49c3e4a7b7286d449dc113ef682be0fe42
- Size of remote file:
- 151 MB
- SHA256:
- aa82c0af89d40370b014a61c2ad4f2fc5815ff2b6243f6f59bce9aa60034e6de
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