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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flaubert/flaubert_base_uncased") model = AutoModelForMaskedLM.from_pretrained("flaubert/flaubert_base_uncased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download merges.txt from flaubert/flaubert_base_uncased: direct link, hf CLI and curl.
- Browser
- Download file 917 kB
-
https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/merges.txt
- Command line
-
hf download hf://flaubert/flaubert_base_uncased/merges.txt
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curl -L -o merges.txt https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/merges.txt
917 kB
File too large to display, you can check the raw version instead.