Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use pabagcha/rah_toki_pona with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pabagcha/rah_toki_pona with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pabagcha/rah_toki_pona")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pabagcha/rah_toki_pona") model = AutoModelForCTC.from_pretrained("pabagcha/rah_toki_pona") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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