Automatic Speech Recognition
Transformers
PyTorch
JAX
Japanese
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use Gustav114514/work with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gustav114514/work with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Gustav114514/work")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Gustav114514/work") model = AutoModelForCTC.from_pretrained("Gustav114514/work") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4ec696cbca412da97e8b1afef76cf4294a29140be3935f394e8596f4e1cba63
- Size of remote file:
- 1.27 GB
- SHA256:
- 145e6adcead347f068bc48446cb68628baf8781228368729326d49d63d3f2129
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