tldrstory
transformers
tldrstory | transformers | |
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3 | 176 | |
344 | 125,369 | |
0.0% | 1.7% | |
3.8 | 10.0 | |
7 months ago | 1 day ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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tldrstory
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Extract text from documents
['Introducing txtai, an AI-powered search engine built on Transformers Add Natural Language Understanding to any application Search is the base of many applications.', 'Once data starts to pile up, users want to be able to find it.', 'It’s the foundation of the internet and an ever-growing challenge that is never solved or done.', 'The field of Natural Language Processing (NLP) is rapidly evolving with a number of new developments.', 'Large-scale general language models are an exciting new capability allowing us to add amazing functionality quickly with limited compute and people.', 'Innovation continues with new models and advancements coming in at what seems a weekly basis.', 'This article introduces txtai, an AI-powered search engine that enables Natural Language Understanding (NLU) based search in any application.', 'Introducing txtai txtai builds an AI-powered index over sections of text.', 'txtai supports building text indices to perform similarity searches and create extractive question-answering based systems.', 'txtai also has functionality for zero-shot classification.', 'txtai is open source and available on GitHub.', 'txtai and/or the concepts behind it has already been used to power the Natural Language Processing (NLP) applications listed below: • paperai — AI-powered literature discovery and review engine for medical/scientific papers • tldrstory — AI-powered understanding of headlines and story text • neuspo — Fact-driven, real-time sports event and news site • codequestion — Ask coding questions directly from the terminal Build an Embeddings index For small lists of texts, the method above works.', 'But for larger repositories of documents, it doesn’t make sense to tokenize and convert all embeddings for each query.', 'txtai supports building pre- computed indices which significantly improves performance.', 'Building on the previous example, the following example runs an index method to build and store the text embeddings.', 'In this case, only the query is converted to an embeddings vector each search.', 'https://github.com/neuml/codequestion https://neuspo.com/ https://github.com/neuml/tldrstory https://github.com/neuml/paperai Introducing txtai, an AI-powered search engine built on Transformers Add Natural Language Understanding to any application Introducing txtai Build an Embeddings index']
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Tutorial series on txtai
tldrstory - AI-powered understanding of headlines and story text
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Apply labels with zero-shot classification
tldrstory has full-stack implementation of a zero-shot classification system using Streamlit, FastAPI and Hugging Face Transformers. There is also a Medium article describing tldrstory and zero-shot classification.
transformers
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AI enthusiasm #9 - A multilingual chatbot📣🈸
transformers is a package by Hugging Face, that helps you interact with models on HF Hub (GitHub)
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Maxtext: A simple, performant and scalable Jax LLM
Is t5x an encoder/decoder architecture?
Some more general options.
The Flax ecosystem
https://github.com/google/flax?tab=readme-ov-file
or dm-haiku
https://github.com/google-deepmind/dm-haiku
were some of the best developed communities in the Jax AI field
Perhaps the “trax” repo? https://github.com/google/trax
Some HF examples https://github.com/huggingface/transformers/tree/main/exampl...
Sadly it seems much of the work is proprietary these days, but one example could be Grok-1, if you customize the details. https://github.com/xai-org/grok-1/blob/main/run.py
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Lossless Acceleration of LLM via Adaptive N-Gram Parallel Decoding
The HuggingFace transformers library already has support for a similar method called prompt lookup decoding that uses the existing context to generate an ngram model: https://github.com/huggingface/transformers/issues/27722
I don't think it would be that hard to switch it out for a pretrained ngram model.
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AI enthusiasm #6 - Finetune any LLM you want💡
Most of this tutorial is based on Hugging Face course about Transformers and on Niels Rogge's Transformers tutorials: make sure to check their work and give them a star on GitHub, if you please ❤️
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Schedule-Free Learning – A New Way to Train
* Superconvergence + LR range finder + Fast AI's Ranger21 optimizer was the goto optimizer for CNNs, and worked fabulously well, but on transformers, the learning rate range finder sadi 1e-3 was the best, whilst 1e-5 was better. However, the 1 cycle learning rate stuck. https://github.com/huggingface/transformers/issues/16013
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Gemma doesn't suck anymore – 8 bug fixes
Thanks! :) I'm pushing them into transformers, pytorch-gemma and collabing with the Gemma team to resolve all the issues :)
The RoPE fix should already be in transformers 4.38.2: https://github.com/huggingface/transformers/pull/29285
My main PR for transformers which fixes most of the issues (some still left): https://github.com/huggingface/transformers/pull/29402
- HuggingFace Transformers: Qwen2
- HuggingFace Transformers Release v4.36: Mixtral, Llava/BakLlava, SeamlessM4T v2
- HuggingFace: Support for the Mixtral Moe
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Paris-Based Startup and OpenAI Competitor Mistral AI Valued at $2B
If you want to tinker with the architecture Hugging Face has a FOSS implementation in transformers: https://github.com/huggingface/transformers/blob/main/src/tr...
If you want to reproduce the training pipeline, you couldn't do that even if you wanted to because you don't have access to thousands of A100s.
What are some alternatives?
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
codequestion - 🔎 Semantic search for developers
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
faiss - A library for efficient similarity search and clustering of dense vectors.
llama - Inference code for Llama models
paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers
transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"
tika-python - Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
huggingface_hub - The official Python client for the Huggingface Hub.