Fill-Mask
Transformers
PyTorch
French
flaubert
bert
language-model
flue
french
flaubert-base
uncased
Instructions to use Safouene/flaubert_OB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Safouene/flaubert_OB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Safouene/flaubert_OB")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Safouene/flaubert_OB") model = AutoModelForMaskedLM.from_pretrained("Safouene/flaubert_OB", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Safouene/flaubert_OB: direct link, hf CLI and curl.
- Browser
- Download file 51 Bytes
-
https://huggingface.co/Safouene/flaubert_OB/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Safouene/flaubert_OB/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Safouene/flaubert_OB/resolve/main/tokenizer_config.json
51 Bytes
| { | |
| "do_lowercase": true, | |
| "do_lower_case": true | |
| } |