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intel-huggingface-workshop-bot – AI Model by arjunraghunandanan | AlphaNeural AI

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arjunraghunandanan/
intel-huggingface-workshop-bot

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text-classification

emotion-recognition

sentiment-analysis

autotrain_compatible

endpoints_compatible

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model_card_content = """

Model Card for My Sentiment Analysis Bot : Intel Workshop

Model Description

Purpose: For Classifying Emotions from text.
Model architecture: Distilbert model
Training data: Text examples with labels corresponding to emotions such as ex: sad, happy, love, etc.

Intended Use

Intended users: Model created and deployed for learning purposes while following Intel's Huggingface Optimization Workshop.
Use cases: Sentiment Analysis, Social Media Comment Filtering, Review Filtering.

Example Sentences

Input: Winning the lottery has filled me with an indescribable joy that makes me want to sing and dance! -- Type of Sentiment: Happy
Input: Saying goodbye to my beloved pet was the hardest thing I've ever done, and the sadness feels like a heavy weight on my heart. -- Type of Sentiment: Sad
Input: The blatant injustice of the situation infuriates me to the core. How can anyone stand by and allow such unfairness? -- Type of Sentiment: Angry
Input: I can't believe it - I actually got the job! This is a complete shock, but an amazing one! -- Type of Sentiment: Surprised
Input: The storm raging outside is terrifying. The howling wind and crashing thunder make me feel uneasy and unsafe. -- Type of Sentiment: Fearful

Limitations

Known limitations: This deplopyment is done for learning purposes. This is not trained on a big dataset and is not that accurate. Causes erroneous results.

Hardware

Training Platform: Intel Developer Cloud Training JupyterLabs using Intel 4th Generation Xeon Processors.
Link to IDC Training: https://console.cloud.intel.com/training

Software Optimizations

Known Optimizations: Outside of my beginner level understanding. I followed tutorial steps.

Ethical Considerations

Ethical concerns: Created for Learning purposes only,may not be monitored, improved. Use with caution.

More Information

developed for Intel workshop : https://software.seek.intel.com/oneapi-ws-hugging-face-toolkit
Followed live tutorials from Eduardo : https://huggingface.co/eduardo-alvarez/emotion-bot-2000

"""