Instructions to use marquesafonso/bertimbau-large-ner-selective with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marquesafonso/bertimbau-large-ner-selective with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="marquesafonso/bertimbau-large-ner-selective")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("marquesafonso/bertimbau-large-ner-selective") model = AutoModelForTokenClassification.from_pretrained("marquesafonso/bertimbau-large-ner-selective", 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
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (4e8a17a0ec05274e825f74ec9aab7ee68dd0be2c) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>93d1f3d -
fix example in readme
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initial commit
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