mteb/ItaCaseholdClassification
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How to use mpapucci/BertForItaCaseholdClassification with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="mpapucci/BertForItaCaseholdClassification") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("mpapucci/BertForItaCaseholdClassification")
model = AutoModelForSequenceClassification.from_pretrained("mpapucci/BertForItaCaseholdClassification")The model is a Bert fine-tuned to do Text Classification on relevant categories for the Italian Public administration.
The model is a Bert fine-tuned to do Text Classification on relevant categories for the Italian Public administration. This has been done for the LLMs Anatomy course laboratory taught by Michele Papucci for the University of Pisa.
Base model
dbmdz/bert-base-italian-cased