Instructions to use val3n/prueba1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use val3n/prueba1 with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("val3n/prueba1") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
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Download README.md from val3n/prueba1: direct link, hf CLI and curl.
- Browser
- Download file 159 Bytes
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https://huggingface.co/val3n/prueba1/resolve/main/README.md
- Command line
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hf download hf://val3n/prueba1/README.md
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curl -L -o README.md https://huggingface.co/val3n/prueba1/resolve/main/README.md
159 Bytes
metadata
license: mit
datasets:
- Locutusque/UltraTextbooks
language:
- es
metrics:
- accuracy
library_name: flair
pipeline_tag: text-classification
tags:
- art