Instructions to use gplsi/VILLANOS_va with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gplsi/VILLANOS_va with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaForSequenceClassificationFeatures tokenizer = AutoTokenizer.from_pretrained("gplsi/VILLANOS_va") model = RobertaForSequenceClassificationFeatures.from_pretrained("gplsi/VILLANOS_va", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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When third parties deploy or provide systems and/or services to other parties using this model (or any system based on it) or become users of the model, they should note that it is their responsibility to mitigate the risks arising from its use and, in any event, to comply with applicable regulations, including regulations regarding the use of Artificial Intelligence.
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In no event shall the owner and creator of the model (GPLSI) be liable for any results arising from the use made by third parties.
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When third parties deploy or provide systems and/or services to other parties using this model (or any system based on it) or become users of the model, they should note that it is their responsibility to mitigate the risks arising from its use and, in any event, to comply with applicable regulations, including regulations regarding the use of Artificial Intelligence.
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In no event shall the owner and creator of the model (GPLSI) be liable for any results arising from the use made by third parties.
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### Reference
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```bibtex
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@misc{gplsi-VILLANOS_va,
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author = {...},
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title = {VILLANOS_va},
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institution = {Language and Information Systems Group (GPLSI) and Centro de Inteligencia Digital (CENID), University of Alicante (UA)},
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howpublished = {\url{https://huggingface.co/gplsi/VILLANOS_va}},
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note = {Accessed: 2026-10-14}
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}
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