Automatic Speech Recognition
Transformers
PyTorch
JAX
Fon
wav2vec2
audio
speech
xlsr-fine-tuning-week
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use chrisjay/fonxlsr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrisjay/fonxlsr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="chrisjay/fonxlsr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("chrisjay/fonxlsr") model = AutoModelForCTC.from_pretrained("chrisjay/fonxlsr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 263d9bf30ecc0229d9bbab0a2abfae456541392c71ff95e3517fa8dbaaa267ee
- Size of remote file:
- 2.29 kB
- SHA256:
- 110c2ca14338491517c9e51074439a906d54c7c438927d0e93574bd49000da46
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