Fill-Mask
Transformers
PyTorch
French
flaubert
bert
language-model
flue
french
flaubert-base
uncased
Instructions to use flaubert/flaubert_base_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flaubert/flaubert_base_uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flaubert/flaubert_base_uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flaubert/flaubert_base_uncased") model = AutoModelForMaskedLM.from_pretrained("flaubert/flaubert_base_uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{
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"do_lower_case": true
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}
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{
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"do_lowercase": true,
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"do_lower_case": true
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}
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