Instructions to use moussaKam/barthez with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moussaKam/barthez with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="moussaKam/barthez")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("moussaKam/barthez") model = AutoModelForSeq2SeqLM.from_pretrained("moussaKam/barthez") - Inference
- Notebooks
- Google Colab
- Kaggle
Adds missing tokenizer configuration file (#3)
Browse files- Adds tokenizer_config.json file (c9642a261ed7ac5140ddcd0e40b1b8d422bdaacb)
Co-authored-by: Lysandre <lysandre@users.noreply.huggingface.co>
- tokenizer_config.json +1 -0
tokenizer_config.json
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{"model_max_length": 1024}
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