Fill-Mask
Transformers
PyTorch
Safetensors
French
flaubert
bert
language-model
flue
french
bert-base
flaubert-base
cased
Instructions to use flaubert/flaubert_base_cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flaubert/flaubert_base_cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flaubert/flaubert_base_cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flaubert/flaubert_base_cased") model = AutoModelForMaskedLM.from_pretrained("flaubert/flaubert_base_cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Updates incorrect tokenizer configuration file (#2)
Browse files- Adds tokenizer_config.json file (760786401940ff86cddaffbcd71584174a63c37f)
Co-authored-by: Lysandre <lysandre@users.noreply.huggingface.co>
- tokenizer_config.json +1 -3
tokenizer_config.json
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{
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"do_lower_case": false
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}
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{"do_lower_case": false, "do_lowercase": false, "model_max_length": 512}
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