Instructions to use pitoneros/NER_LAW_MONEY4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pitoneros/NER_LAW_MONEY4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pitoneros/NER_LAW_MONEY4")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pitoneros/NER_LAW_MONEY4") model = AutoModelForTokenClassification.from_pretrained("pitoneros/NER_LAW_MONEY4") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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language: es
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tags:
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- token-classification
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- nli
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- pytorch
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datasets:
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- our own
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pipeline_tag: token-classification
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widget:
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- text: "La recaudación del ministerio del interior fue de 20,000,000 euros así constatado por el artículo 24 de la Constitución Española.:"
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---
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