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
- Xet hash:
- f5bdabb75da890e3156c199984cdb771c6a36eb853cc41adbe412512b1f345d9
- Size of remote file:
- 550 MB
- SHA256:
- 92f2d4fab04253ac3976f43b47c86ebae5423fe0488ccdececfa27eec850687c
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