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
Upload tokenizer
Browse files
README.md
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license: apache-2.0
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base_model: facebook/wav2vec2-xls-r-300m
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metrics:
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model-index:
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- name: xls_1b_decoding_fr_decoding_test
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results: []
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base_model: facebook/wav2vec2-xls-r-300m
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license: apache-2.0
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metrics:
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- wer
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tags:
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- generated_from_trainer
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model-index:
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- name: xls_1b_decoding_fr_decoding_test
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results: []
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