dateparser
transformers
dateparser | transformers | |
---|---|---|
7 | 181 | |
2,470 | 126,516 | |
0.9% | 2.6% | |
6.7 | 10.0 | |
about 2 months ago | 5 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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dateparser
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Guidance on creating a very lightweight model that does one task very well
you don't need an LLM for this, if you're using python, https://github.com/scrapinghub/dateparser works quite well.
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Everyone is talking about how ChatGPT has improved their workflow. Are you using ChatGPT extensively in your workflow?
In this project, for example, behavior is 90% about what happens when you call the parse function: https://github.com/scrapinghub/dateparser
- Desperately looking for a natural language dates parser module
- How to detect multiple dates or datetime formats and convert them accordingly
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Tuesday Daily Thread: Advanced questions
As I'm not familiar with the library, I won't be the greatest of help at that. Best recommendations I have for you is scrolling through the settings in the documentation and looking through the issues on their github, particularly the closed ones, to see if someone else is looking for the same features you are.
- Scrapinghub/dateparser: Python parser for human readable dates
transformers
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XLSTM: Extended Long Short-Term Memory
Fascinating work, very promising.
Can you summarise how the model in your paper differs from this one ?
https://github.com/huggingface/transformers/issues/27011
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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
What are some alternatives?
datefinder - Find dates inside text using Python and get back datetime objects
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
developer - the first library to let you embed a developer agent in your own app!
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
Scrapy - Scrapy, a fast high-level web crawling & scraping framework for Python.
llama - Inference code for Llama models
kor - LLM(😽)
transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"
TheAlgorithms - All Algorithms implemented in Python
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