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:
- c0719fe4b017a7f31a03037479ba20c97228284392a7ba7a4319ce5d59058b98
- Size of remote file:
- 3.85 GB
- SHA256:
- 5216765295581ef517517e090ab64da6dc3114f709db4486183fd2aee38763f1
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