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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flaubert/flaubert_base_cased") model = AutoModelForMaskedLM.from_pretrained("flaubert/flaubert_base_cased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flaubert/flaubert_base_cased: direct link, hf CLI and curl.
- Browser
- Download file 553 MB
-
https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flaubert/flaubert_base_cased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/pytorch_model.bin
553 MB
- Xet hash:
- 17dd787106f9486eed1999965d002dc41d3535991502f49f71c17e2e5fd7d0db
- Size of remote file:
- 553 MB
- SHA256:
- fd65b88110358f259b82859e12e51a430cdb8516da7b49f1f883950f2b1423f2
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