redditflow
transformers
redditflow | transformers | |
---|---|---|
7 | 176 | |
82 | 125,369 | |
- | 1.7% | |
0.0 | 10.0 | |
7 months ago | about 21 hours ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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redditflow
- [p] I helped a researcher build everything from data collection to model building, and open sourced it.
- I built an AI tool to help a researcher build everything from data collection to model building, and open sourced it.
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Nfflow/Redditflow: An AI tool that handles everything from data collection to model building in two lines of code!
I once worked with a researcher who was struggling with some python code, and she was trying to scrape data and have ML models trained on the data. After seeing her struggle, I decided to build an organization where I can do everything end to end data collection to model training. As part of the mission, I am releasing redditflow, the first product to solve our mission. With only the help of two lines of python code, Redditflow uses the Reddit API to scrape any image or text data from any timeline from past to future, and AI algorithms will filter the scraped data, and finally, train an ML model as output! Github: https://github.com/nfflow/redditflow Please raise an issue, join discord at https://discord.gg/8u362Yc3 or mail me at [[email protected]](mailto:[email protected]) if you would like to contribute! I will be excited to talk with you!
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GitHub - nfflow/redditflow: An AI tool to automate everything from data collection to model training, in two lines of python!
Github: https://github.com/nfflow/redditflow
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What are the best tools which handle everything from data collection (Via scraping) to filtering the data and training an ML model as output?
P.S : I have attempted to solve this via the reddit API in :https://github.com/nfflow/redditflow.
- I made a tool for building ML models from reddit data from any timeline from past to future!
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Redditflow- Find data from any timeline from past to future and feed your ML pipelines
Well, there's a lot we can do for the community through open source. We welcome all contributions which will help us move forward a step in helping making the data science process simpler. Check out https://github.com/nfflow/redditflow
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?
pubmedflow - Data Collection API for pubmed
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
llama - Inference code for Llama models
transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"
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.
OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch
sentencepiece - Unsupervised text tokenizer for Neural Network-based text generation.
Swin-Transformer-Tensorflow - Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)
faiss - A library for efficient similarity search and clustering of dense vectors.
KoboldAI-Client