HugNLP VS small-text

Compare HugNLP vs small-text and see what are their differences.

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HugNLP small-text
3 4
370 521
0.0% 0.6%
7.6 7.6
7 months ago 5 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

HugNLP

Posts with mentions or reviews of HugNLP. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.

small-text

Posts with mentions or reviews of small-text. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-06.

What are some alternatives?

When comparing HugNLP and small-text you can also consider the following projects:

LLMSurvey - The official GitHub page for the survey paper "A Survey of Large Language Models".

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

prompt-lib - A set of utilities for running few-shot prompting experiments on large-language models

happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

alpaca_farm - A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

NewsMTSC - Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

ray-llm - RayLLM - LLMs on Ray

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

CodeTF - CodeTF: One-stop Transformer Library for State-of-the-art Code LLM

automl-docker - CLI-based tool to automatically build ML models from training data into a servable Docker container

HugNLP - HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab

DECIMER-Image_Transformer - DECIMER: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer