# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("dejanseo/BERTic-sentiment")
model = AutoModelForSequenceClassification.from_pretrained("dejanseo/BERTic-sentiment")Quick Links
Croatian Sentiment
Croatian sentence sentiment classification model. A fine-tuned version of BERTic, trained and released by Dejan Marketing.
Sentiment Labels
- 0: positive
- 1: neutral
- 2: negative
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Training Data:
- Synthetic dataset generated using mistralai/Mistral-7B-Instruct-v0.3
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Model tree for dejanseo/BERTic-sentiment
Base model
classla/bcms-bertic
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dejanseo/BERTic-sentiment")