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library_name: transformers |
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tags: |
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- sentiment-analysis |
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- text-classification |
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- nlp |
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- beginner |
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--- |
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# Model Card for New12fef/np-ai-model |
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This model is a **sentiment analysis model** that classifies English text as **Positive** or **Negative**. |
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It is designed mainly for **learning, experimentation, and academic projects**. |
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--- |
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## Model Details |
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### Model Description |
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This is a Transformer-based sentiment analysis model fine-tuned using the 🤗 Transformers library. |
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The model predicts whether a given English sentence expresses a positive or negative sentiment. |
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- **Developed by:** New12fef |
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- **Funded by:** Not applicable |
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- **Shared by:** New12fef |
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- **Model type:** Transformer-based text classification model |
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- **Language(s) (NLP):** English |
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- **License:** Apache 2.0 |
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- **Finetuned from model:** distilbert-base-uncased |
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### Model Sources |
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- **Repository:** https://huggingface.co/New12fef/np-ai-model |
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- **Paper:** Not applicable |
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- **Demo:** Not available |
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--- |
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## Uses |
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### Direct Use |
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This model can be used directly for: |
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- Sentiment analysis of short English sentences |
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- Learning Natural Language Processing (NLP) |
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- College mini-projects and demonstrations |
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- Beginner experimentation with Transformers |
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### Downstream Use |
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The model can be further fine-tuned or integrated into: |
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- Chatbots |
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- Feedback or review analysis systems |
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- Educational AI applications |
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### Out-of-Scope Use |
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This model is **not suitable** for: |
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- Medical, legal, or financial decision-making |
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- High-risk or real-world production systems |
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- Multilingual sentiment analysis |
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- Understanding sarcasm or complex emotional context |
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--- |
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## Bias, Risks, and Limitations |
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- Trained on a **small custom dataset** |
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- Performance may degrade on: |
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- Long paragraphs |
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- Slang or informal language |
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- Sarcasm |
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- Predictions may reflect biases present in the training data |
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### Recommendations |
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Users should: |
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- Use this model for **educational purposes only** |
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- Fine-tune with a larger and more diverse dataset for better accuracy |
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- Avoid using it in critical applications |
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--- |
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## How to Get Started with the Model |
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```python |
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from transformers import pipeline |
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classifier = pipeline( |
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"sentiment-analysis", |
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model="New12fef/np-ai-model" |
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) |
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classifier("I enjoy learning artificial intelligence") |
