small-text VS HugNLP

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

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small-text HugNLP
4 3
521 371
0.6% 0.0%
7.6 7.6
9 days ago 7 months ago
Python Python
MIT License Apache License 2.0
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.

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.

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.

What are some alternatives?

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

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

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

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

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

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.

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

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

ray-llm - RayLLM - LLMs on Ray

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

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

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

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