| Name | Version | Summary | date |
| prebuilt-RAG-LU |
1.0.2 |
A library for building Retrieval-Augmented Generation (RAG) systems using ChromaDB and popular language models (LLMs). |
2024-10-25 16:05:31 |
| FineTune-Information-Extractor-for-NLPTasks-based-mBART |
1.0.7 |
A library for fine-tuning mBART models to perform information extraction for various NLP tasks. |
2024-10-24 12:57:11 |
| FineTune-Information-Extractor-for-NLPTasks-based-T5-Small |
1.0.5 |
A library for fine-tuning T5-small models to perform information extraction for various NLP tasks. |
2024-10-15 08:22:22 |
| microsoft-MiniLM-L12-H384-uncased |
0.1.5 |
A library that leverages the pre-trained microsoft_MiniLM-L12-H384-uncased model for efficient and lightweight text classification tasks, with a focus on English. The library offers easy-to-use fine-tuning capabilities, making it suitable for rapid deployment in resource-constrained environments. |
2024-10-03 09:18:06 |
| xlm-roberta-base-fine-tuning-text-classifier-lux |
0.1.8 |
A library that leverages pre-trained XLM-RoBERTa models for multilingual text classification (French, German, English, and Luxembourgish) with easy-to-use fine-tuning capabilities. |
2024-10-02 07:45:47 |
Mehrdad ALMASI, Demival VASQUES FILHO