np-ai-model

Model Card for New12fef/np-ai-model

This model is a sentiment analysis model that classifies English text as Positive or Negative.
It is designed mainly for learning, experimentation, and academic projects.

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Model Details

Model Description

This is a Transformer-based sentiment analysis model fine-tuned using the 🤗 Transformers library.
The model predicts whether a given English sentence expresses a positive or negative sentiment.

• Developed by: New12fef
• Funded by: Not applicable
• Shared by: New12fef
• Model type: Transformer-based text classification model
• Language(s) (NLP): English
• License: Apache 2.0
• Finetuned from model: distilbert-base-uncased

Model Sources

• Repository: https://huggingface.co/New12fef/np-ai-model
• Paper: Not applicable
• Demo: Not available

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Uses

Direct Use

This model can be used directly for:

• Sentiment analysis of short English sentences
• Learning Natural Language Processing (NLP)
• College mini-projects and demonstrations
• Beginner experimentation with Transformers

Downstream Use

The model can be further fine-tuned or integrated into:

• Chatbots
• Feedback or review analysis systems
• Educational AI applications

Out-of-Scope Use

This model is not suitable for:

• Medical, legal, or financial decision-making
• High-risk or real-world production systems
• Multilingual sentiment analysis
• Understanding sarcasm or complex emotional context

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Bias, Risks, and Limitations

• Trained on a small custom dataset
• Performance may degrade on:
  • Long paragraphs
  • Slang or informal language
  • Sarcasm
• Predictions may reflect biases present in the training data

Recommendations

Users should:

• Use this model for educational purposes only
• Fine-tune with a larger and more diverse dataset for better accuracy
• Avoid using it in critical applications

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How to Get Started with the Model

from transformers import pipeline

classifier = pipeline(
    "sentiment-analysis",
    model="New12fef/np-ai-model"
)

classifier("I enjoy learning artificial intelligence")