Instructions to use Dandan0K/xls_1b_decoding_fr_decoding_test_iter 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_test_iter 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_test_iter")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Dandan0K/xls_1b_decoding_fr_decoding_test_iter") model = AutoModelForCTC.from_pretrained("Dandan0K/xls_1b_decoding_fr_decoding_test_iter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33d1f814e8a16e523ad83f9f32ccc2047eb65bf8950a908b271abd29933b5453
- Size of remote file:
- 5.18 kB
- SHA256:
- 346dc32e2a9ed1f676fdf7b789864e5792636b958396dbd2fb4a12a66eff096f
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