FinBERT-QA VS happy-transformer

What are some alternatives?

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

FARM - :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

BERT-QE - Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".

transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

kiri - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

KitanaQA - KitanaQA: Adversarial training and data augmentation for neural question-answering models

small-text - Active Learning for Text Classification in Python

kiri - Kiri is a visual tool designed for reviewing schematics and layouts of KiCad projects that are version-controlled with Git.

gector - Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

TextFooler - A Model for Natural Language Attack on Text Classification and Inference

quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.