Instructions to use marquesafonso/bertimbau-large-ner-total with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marquesafonso/bertimbau-large-ner-total with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="marquesafonso/bertimbau-large-ner-total")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("marquesafonso/bertimbau-large-ner-total") model = AutoModelForTokenClassification.from_pretrained("marquesafonso/bertimbau-large-ner-total", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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update latex type for main paper to improve automatic parsing from hf
Verified signature016ff29
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (493d0d2b5c6c4e1c2253ae8095c43da19b27f447) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b7f1751 -
add example in readme
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add vocab file
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add example fix highlight for dark mode
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add model and config files
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initial commit
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