learn-opensource-models

Installation

conda create -n learn-opensource-models python=3.11 -y
conda activate learn-opensource-models

pip install -r requirements.txt
# pip list --format=freeze > requirements.txt

Run

jupyter lab --allow-root

Transformers available tasks

• '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'
• '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'