sunandan8n/my-sentiment-model

My Sentiment Model

This is a fine-tuned sentiment analysis model created by sunandan8n.
It classifies text into positive or negative sentiment.

Model Details

• Base Model: DistilBERT (uncased)
• Framework: Transformers (PyTorch)
• File Format: SafeTensors

Intended Use

• Sentiment classification for short English texts.
• Can be used in chatbots, customer feedback analysis, or product reviews.

Example Usage

from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline

model_name = "sunandan8n/my-sentiment-model"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)

classifier = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)

print(classifier("I am very happy with this!"))
print(classifier("This is terrible."))