Instructions to use Dandan0K/xls_1b_decoding_fr_decoding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dandan0K/xls_1b_decoding_fr_decoding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Dandan0K/xls_1b_decoding_fr_decoding")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Dandan0K/xls_1b_decoding_fr_decoding") model = AutoModelForCTC.from_pretrained("Dandan0K/xls_1b_decoding_fr_decoding") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72f92c594104587e3b570e87792b2342b05d09edf54ab3fc0e70ae29c4612d43
- Size of remote file:
- 1.26 GB
- SHA256:
- f7916e01381317401cd613187d598963f90eb23f87077bf78c658ffade7a49e6
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