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
| Version | Repository | File | Size |
|---|---|---|---|
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 |