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
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (2297d6d61cdd51805eb1a843980de6a2a6c24bc1)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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