tldr-transformers
adaptnlp
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| tldr-transformers | adaptnlp | |
|---|---|---|
| 4 | 2 | |
| 167 | 414 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| over 1 year ago | over 2 years ago | |
| Jupyter Notebook | ||
| MIT License | Apache License 2.0 |
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tldr-transformers
- Show HN: The “tl;dr” of Recent Transformer Papers
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Show HN: Tl;Dr” on Transformers Papers
With the explosion in research on all things transformers, it seemed there was a need to have a single table to distill the "tl;dr" of each paper's contributions relative to each other. Here is what I got so far: https://github.com/will-thompson-k/tldr-transformers . Would love feedback - and feel free to contribute too :)
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[P] NLP "tl;dr" Notes on Transformers
In any case, I'm liking the first glance so far. I'd just transpose the summary tables so they wouldn't get so tightly squeezed: https://github.com/will-thompson-k/tldr-transformers/blob/main/notes/bart.md
With the explosion in work on all things transformers, I felt the need to keep a single table of the "tl;dr" of various papers to distill their main takeaways: https://github.com/will-thompson-k/tldr-transformers . Would love feedback!
adaptnlp
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Tools to use for Semantic-searching Question Answering System
Check out adaptnlp
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Case Sensitivity using HuggingFace & Google's T5 model (base)
Yes, there are capitals in the tokenizer vocabulary of t5-base and t5-small, so both support capitalization. A few days ago I was using t5-small through adaptnlp for extractive summarization and capitalization was working fine (https://github.com/Novetta/adaptnlp). AdaptNLP is basically just a transformers wrapper, so if you can't figure out a solution, you could just dissect their source code.
What are some alternatives?
NLP-progress - Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.
FARM - :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
keytotext - Keywords to Sentences
lemmatization-lists - Machine-readable lists of lemma-token pairs in 23 languages.
fastai - The fastai deep learning library
azure-sql-db-openai - Samples on how to use Azure SQL database with Azure OpenAI
gector - Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers
browser-ml-inference - Edge Inference in Browser with Transformer NLP model
transformers-convert
Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.