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chaosbringerc/
POSNEGPRETRAINED

Name: POSNEGPRETRAINED
Rating: 2.5 (8 reviews)

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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

python

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)

chaosbringerc/POSNEGPRETRAINED

POSNEG Sentiment Classification Model

Dataset

Usage

chaosbringerc/
POSNEGPRETRAINED