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:
- 0593bc6c310518b48ca40feff36f1b10969bc83053c7cd9ef5e6d7ddd05e1618
- Size of remote file:
- 1.26 GB
- SHA256:
- 74bdca769cd51004213a94971071310e85dd23c45f3f3304e55f12017bcc1e6b
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