# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("raphgonda/FilipinoShopping")
model = AutoModelForSequenceClassification.from_pretrained("raphgonda/FilipinoShopping")Quick Links
Filipino Language Sentiment Classifier: Online Shopping Domain
The model is trained on a labeled dataset of over 400,000 Shopee online reviews written in Taglish and Filipino (Tagalog).
The sentiment classifier predicts the probability that a given text is positive, negative, or neutral.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raphgonda/FilipinoShopping")