chaosbringerc/POSNEGPRETRAINED

POSNEG Sentiment Classification Model

This model is trained on the POSNEG dataset for binary sentiment classification.

Dataset

• Name: POSNEG
• Task: Text Classification
• Labels: Positive (1), Negative (0)

Usage

from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch

tokenizer = AutoTokenizer.from_pretrained("chaosbringerc/POSNEG-Dataset-API")
model = AutoModelForSequenceClassification.from_pretrained("chaosbringerc/POSNEG-Dataset-API")

text = "This is a great product!"
inputs = tokenizer(text, return_tensors="pt")
outputs = model(**inputs)
predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)