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sentiment-model – AI Model by proc015 | AlphaNeural AI

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proc015/
sentiment-model

like

0

text-classification

stanfordnlp/imdb

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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Sentiment Analysis Model

This model is a fine-tuned version of distilbert-base-uncased on the IMDb dataset for sentiment analysis.

Model Details

Base model: distilbert-base-uncased
Fine-tuning dataset: IMDb
Task: Sentiment analysis (text classification)

Intended Use

The model is designed to classify text into positive or negative sentiment. You can use it for tasks such as:

Analyzing product reviews.
Social media sentiment analysis.
General text classification tasks involving sentiment.

Limitations

The model is fine-tuned on the IMDb dataset and may not generalize well to all domains or datasets.
It may inherit biases from the IMDb dataset.

Example Usage

python

from transformers import pipeline

# Load the model
model_pipeline = pipeline("text-classification", model="proc015/sentiment-model")

# Run sentiment analysis
result = model_pipeline("I love this product!")
print(result)