Question Answering
Transformers
Safetensors
Portuguese
xlm-roberta
meeting-minutes
municipal-documents
Instructions to use inesctec/CitiLink-XLMR-large-Structural-Segmentation-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inesctec/CitiLink-XLMR-large-Structural-Segmentation-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="inesctec/CitiLink-XLMR-large-Structural-Segmentation-pt")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("inesctec/CitiLink-XLMR-large-Structural-Segmentation-pt") model = AutoModelForQuestionAnswering.from_pretrained("inesctec/CitiLink-XLMR-large-Structural-Segmentation-pt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 893f19f6d064a1de6e1ac4c39051ef839e841891897e7565545c16703221021b
- Size of remote file:
- 17.1 MB
- SHA256:
- 5e1d9932a05fedb92c0ffb459b128b386f3d20434475401ffed0ffbcea183f66
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