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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from Dandan0K/xls_1b_decoding_fr_decoding_test: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
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https://huggingface.co/Dandan0K/xls_1b_decoding_fr_decoding_test/resolve/main/.gitignore
- Command line
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hf download hf://Dandan0K/xls_1b_decoding_fr_decoding_test/.gitignore
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curl -L -o .gitignore https://huggingface.co/Dandan0K/xls_1b_decoding_fr_decoding_test/resolve/main/.gitignore
13 Bytes
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