Instructions to use Dandan0K/xls_1b_decoding_fr_decoding_test 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 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")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Dandan0K/xls_1b_decoding_fr_decoding_test") model = AutoModelForCTC.from_pretrained("Dandan0K/xls_1b_decoding_fr_decoding_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66ec78ad5076abd112386fc51fbfcc9768eea23ef1d56a0fa265ff7101c9a360
- Size of remote file:
- 1.26 GB
- SHA256:
- 1708e1783be6a95dbc5207b4d0fd0d383ad06dbd4d577588eba1d7b5992b346b
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