transformers
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transformers | tailwind-nextjs-starter-blog | |
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171 | 38 | |
123,251 | 6,796 | |
2.7% | - | |
10.0 | 8.8 | |
about 9 hours ago | 9 days ago | |
Python | TypeScript | |
Apache License 2.0 | MIT License |
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transformers
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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
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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.
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[D] What is a good way to maintain code readability and code quality while scaling up complexity in libraries like Hugging Face?
In transformers, they tried really hard to have a single function or method to deal with both self and cross attention mechanisms, masking, positional and relative encodings, interpolation etc. While it allows a user to use the same function/method for any model, it has led to severe parameter bloat. Just compare the original implementation of llama by FAIR with the implementation by HF to get an idea.
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Self train a super tiny model recommendations
You can train it with the code provided in transformer repo: https://github.com/huggingface/transformers/blob/main/examples/pytorch/language-modeling/run_clm.py
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Can we discuss MLOps, Deployment, Optimizations, and Speed?
transformers uses accelerate if you call it with device_map='auto'
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Show HN: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context
Too much money being thrown around on BS in the LLM space, hardly any of it is going to places where it matters.
For example, the researchers working hard on better text sampling techniques, or on better constraint techniques (i.e. like this https://arxiv.org/abs/2306.03081), or on actual negative prompting/CFG in LLMs (i.e. like this https://github.com/huggingface/transformers/issues/24536) are doing far FAR more to advance the state of AI than dozens of VC backed LLM "prompt engineering" companies operating today.
HN, and the NLP community have some serious blindspots with knowing how to exploit their own technology. At least someone at Anderson Howartz got a clue and gave some funding to Oogabooga - still waiting for Automatic1111 to get any funding.
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🐍🐍 23 issues to grow yourself as an exceptional open-source Python expert 🧑💻 🥇
Repo : https://github.com/huggingface/transformers
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Whisper prompt tuning
From what I know, Whisper already supports prompting (https://github.com/huggingface/transformers/pull/22496). Can I somehow freeze the whole model and tune exclusively the prompt or would I need to write an implementation from scratch?
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A look at Apple’s new Transformer-powered predictive text model
https://github.com/huggingface/transformers/blob/0a55d9f7376...
To summarize how they work: you keep some number of previously generated tokens, and once you get logits that you want to sample a new token from, you find the logits for existing tokens and multiply them by a penalty, thus lowering the probability of the corresponding tokens.
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Can LLMs learn from a single example?
Very cool. This came up in a huggingface transformers issue a while ago and we also determined memorization to be the likely reason. It's nice to see someone else reach the same conclusion.
tailwind-nextjs-starter-blog
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Exploring the DEV.to API to Build a Blog
Inspired by tailwind-nextjs-starter-blog
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What is your tech stack for blog websites? (not wordpress)
At Axolo (https://axolo.co/blog), we love this tailwind next.js open source project https://github.com/timlrx/tailwind-nextjs-starter-blog
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How to add Blog to Landing Page?
I have build a landing page with Next.js and Tailwind CSS. The landing page lives on the index route "/". Now I wanna add a blog to this project unter the route "/blog". Ideally I wanna use a blog template for this that is based on Next.js and Tailwind CSS like this https://github.com/timlrx/tailwind-nextjs-starter-blog. How is the easiest way to do this without much configuration and how do I handle different tailwind.config.js Files?
The repo you linked uses this pattern: https://github.com/timlrx/tailwind-nextjs-starter-blog/tree/master/pages/blog
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how to change favicon
Also visit the link below, in the answer there's a website that will help you https://github.com/timlrx/tailwind-nextjs-starter-blog/issues/577
I want to use https://github.com/timlrx/tailwind-nextjs-starter-blog become my blog , but I can't change favicon,
- Software für Blog?
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Sveltekit + Tailwind Blog Starter
I've been looking for a good, flexible template for SvelteKit / Tailwind CSS, but all the templates I found were either too simple, missing some needed features, or were too difficult to customize (or both). I loved Timothy Lin's simple but feature-rich Tailwind Nextjs Started Blog, so I decided to port that to SvelteKit, and add a few things I needed, including Netlify CMS, dynamic Open Graph image (og:image) support.
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Vercel's CEO just tweeted my project Outstatic.com ❤️
I'm using the tailwind-nextjs-starter-blog template and would love to integrate the editor into my app to generate MDX-files for my blog!
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Type Safe GroupBy In TypeScript
It's based on a nextjs template https://github.com/timlrx/tailwind-nextjs-starter-blog
What are some alternatives?
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
redux-toolkit - The official, opinionated, batteries-included toolset for efficient Redux development