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transforEmotion

Sentiment Analysis for Text, Image and Video using Transformer Models

Implements sentiment analysis using huggingface <https://huggingface.co> transformer zero-shot classification model pipelines for text and image data. The default text pipeline is Cross-Encoder's DistilRoBERTa <https://huggingface.co/cross-encoder/nli-distilroberta-base> and default image/video pipeline is Open AI's CLIP <https://huggingface.co/openai/clip-vit-base-patch32>. All other zero-shot classification model pipelines can be implemented using their model name from <https://huggingface.co/models?pipeline_tag=zero-shot-classification>.

Versions across snapshots

VersionRepositoryFileSize
0.1.7 rolling linux/jammy R-4.5 transforEmotion_0.1.7.tar.gz 3.7 MiB
0.1.7 rolling linux/noble R-4.5 transforEmotion_0.1.7.tar.gz 3.7 MiB
0.1.7 rolling source/ R- transforEmotion_0.1.7.tar.gz 3.4 MiB
0.1.7 latest linux/jammy R-4.5 transforEmotion_0.1.7.tar.gz 3.7 MiB
0.1.7 latest linux/noble R-4.5 transforEmotion_0.1.7.tar.gz 3.7 MiB
0.1.7 latest source/ R- transforEmotion_0.1.7.tar.gz 3.4 MiB
0.1.7 2026-04-26 source/ R- transforEmotion_0.1.7.tar.gz 3.4 MiB
0.1.7 2026-04-23 source/ R- transforEmotion_0.1.7.tar.gz 3.4 MiB
0.1.7 2026-04-09 windows/windows R-4.5 transforEmotion_0.1.7.zip 3.7 MiB
0.1.5 2025-04-20 source/ R- transforEmotion_0.1.5.tar.gz 2.9 MiB

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