Fill-Mask
Transformers
Safetensors
Portuguese
modernbert
portuguese
bert
encoder
mlm
masked-language-model
Instructions to use lorenzocc/NeoBERTugues with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lorenzocc/NeoBERTugues with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lorenzocc/NeoBERTugues", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lorenzocc/NeoBERTugues") model = AutoModelForMaskedLM.from_pretrained("lorenzocc/NeoBERTugues", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer_config.json
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special":
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}
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},
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"bos_token": "<bos>",
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": false
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}
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},
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"bos_token": "<bos>",
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