Gen-AI Developer Classroom notes 08/Apr/2025

NLP (Natural Language Processing)

• Basic Tasks:
  • Sentiment Analysis
  • Summarizations
  • Question Answering
  • NER

Hugging Face

• Account Creation
• Hugging face transformers are based on deep learning and to run deep learning models, we need to install
  • torch
  • Tensorflow
• Running Python code
  • Locally
  • Google Colab
• Basic coding approach
  • Create a pipeline
  • proceed with some nlp task

Simple Setup of a sentiment analysis using hugging face – local

• Create a virtual environment
• install transformers pip install transformers
• Documentation
• Create a hugging face pipeline
• Install torch or tensorflow

pip install tensorflow

Simple Setup of a sentiment analysis using hugging face – Google Colab

• Refer Here

• Refer Here for google colab notebook.

• Possible Tasks with NLP

[
    'audio-classification', 'automatic-speech-recognition', 'depth-estimation', 
'document-question-answering', 
'feature-extraction', 
'fill-mask', 
'image-classification', 'image-feature-extraction', 'image-segmentation', 'image-text-to-text', 'image-to-image', 'image-to-text', 'mask-generation', 'ner', 'object-detection', 'question-answering', 'sentiment-analysis', 
'summarization', 'table-question-answering', 'text-classification', 'text-generation', 'text-to-audio', 'text-to-speech', 'text2text-generation', 'token-classification', 'translation', 'video-classification', 'visual-question-answering', 'vqa', 'zero-shot-audio-classification', 'zero-shot-classification', 'zero-shot-image-classification', 'zero-shot-object-detection', 'translation_XX_to_YY'
]

Lets do Summarization.