Review Classification Model

Multi-label classification model for restaurant reviews.

Labels

  • Advertisement
  • Irrelevant Content
  • Rant Without Visit
  • Spam
  • Useful Review

Usage

from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch

tokenizer = AutoTokenizer.from_pretrained("louistzx/kaypohaunty")
model = AutoModelForSequenceClassification.from_pretrained("louistzx/kaypohaunty")

inputs = tokenizer("Your text here", return_tensors="pt", truncation=True, max_length=256)
with torch.no_grad():
    outputs = model(**inputs)
    predictions = torch.sigmoid(outputs.logits)
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Model size
67M params
Tensor type
F32
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