mlconjug3
transformers
| mlconjug3 | transformers | |
|---|---|---|
| 1 | 179 | |
| 2 | 126,170 | |
| - | 2.3% | |
| 7.7 | 10.0 | |
| 8 months ago | about 15 hours ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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mlconjug3
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Introducing mlconjug3. A Python library to conjugate verbs in French, English, Spanish, Italian, Portuguese and Romanian (with more in beta version) using Machine Learning techniques.
I released a new and improved version of the software, called mlconjug3 as it is only compatible with Python 3.x, and had many enhancements and bug fixes. The accuracy of the conjugations models has improved a lot and I am in the process of implementing regional European languages (in beta version for now), like Castillan, Sevillan, Basque language, etc... as well as slavic languages (Czech and Polish for now).
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?
wikipron - Massively multilingual pronunciation mining
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
MetalTranslate - Customizable machine translation in C++
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
contextualized-topic-models - A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
llama - Inference code for Llama models
draviz - A method for assessing the data readiness of NLP projects, as well as the code necessary for visualizing the outcome of the method.
transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"
thousand-language-morphology - Tools for building very wide (but shallow) language models. This scrapes bible.com for all languages and matches up verses with those from a parsed Greek New Testament -- to produce vocabulary and grammar forms for a large number of languages.
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