Instructions to use SIRIS-Lab/actytode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SIRIS-Lab/actytode with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SIRIS-Lab/actytode")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SIRIS-Lab/actytode") model = AutoModelForSequenceClassification.from_pretrained("SIRIS-Lab/actytode") - Notebooks
- Google Colab
- Kaggle
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# ACTYTODE (ACtivity TYpe TO DEtect)
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This repository provides a `bert-base-multilingual-uncased`model finetuned for ACTYTODE task based on ACTYTODE dataset, which aims at predicting organisation activity type based on the organisation legal status of the European Commission.
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The activity type status for organisations are:
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* PUB --> Public entity (excluding research and education)
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# ACTYTODE (ACtivity TYpe TO DEtect)
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This repository provides a `bert-base-multilingual-uncased` model finetuned for ACTYTODE task based on ACTYTODE dataset, which aims at predicting organisation activity type based on the organisation legal status of the European Commission.
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The activity type status for organisations are:
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* PUB --> Public entity (excluding research and education)
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