Instructions to use Dandan0K/xls_1b_decoding_fr_decoding_phondel 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_phondel 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_phondel")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Dandan0K/xls_1b_decoding_fr_decoding_phondel") model = AutoModelForCTC.from_pretrained("Dandan0K/xls_1b_decoding_fr_decoding_phondel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9da0833bb6ac16fe24472027b212eee579bf939389c4c1b1e847592f8cdffe4
- Size of remote file:
- 1.26 GB
- SHA256:
- 7d81b0bab35b8d82341e0f0e7f86a68f46839515566af0813269a3494fd8423d
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