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 training_args.bin from Dandan0K/xls_1b_decoding_fr_decoding_test: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Dandan0K/xls_1b_decoding_fr_decoding_test/resolve/main/training_args.bin
- Command line
-
hf download hf://Dandan0K/xls_1b_decoding_fr_decoding_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Dandan0K/xls_1b_decoding_fr_decoding_test/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 0df91085d677a77f859536350163fd2bfbc12cc71121fe5e4a69e4d87e4a7d6c
- Size of remote file:
- 5.18 kB
- SHA256:
- 77cfe415eca6f53122c43ade7bb27e63dde54381ef3f16e51ba6708b9a669d59
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