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:
- c8ad3922a652621626f21947ba0d2b988f54382be4abf4f9a28346606db2cd72
- Size of remote file:
- 1.26 GB
- SHA256:
- 3333110b02040109bbec0412b9950fac9840551f22f2ad06bacca757f32f4fb7
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