Fill-Mask
Transformers
PyTorch
Safetensors
French
flaubert
bert
language-model
flue
french
bert-large
flaubert-large
cased
Instructions to use flaubert/flaubert_large_cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flaubert/flaubert_large_cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flaubert/flaubert_large_cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flaubert/flaubert_large_cased") model = AutoModelForMaskedLM.from_pretrained("flaubert/flaubert_large_cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6f7be4bff2573eddba7fa993d4d65361f9b3de43d42c84a464491bcb85ac7d8
- Size of remote file:
- 1.49 GB
- SHA256:
- c56dc7b22ec56f032009f4f576c6cb379981f44c9c2d87580a01692165796aa6
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