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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 96 Bytes
9664f7d | 1 2 3 4 5 6 7 | {
"bos_token": "<s>",
"eos_token": "</s>",
"pad_token": "<pad>",
"unk_token": "<unk>"
}
|