SIRIS-Lab/actytode
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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")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.
The activity type status for organisations are: