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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b8e7196e4f7929b37406ad20c3e8ee9b94b9e201eea34554a60479e91d18971
- Size of remote file:
- 623 Bytes
- SHA256:
- 18e566eea98ba96d6a0f903f7a2d533bf9c3464a5138f3aedb0d06cc0a1b69bf
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