title stringlengths 17 126 | author stringlengths 3 21 | date stringlengths 11 18 | local stringlengths 2 59 | tags stringlengths 2 76 | URL stringlengths 30 87 | content stringlengths 1.11k 108k |
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Interactively explore your Huggingface dataset with one line of code | sps44 | October 25, 2023 | scalable-data-inspection | open-source-collab, visualization, data inspection | https://huggingface.co/blog/scalable-data-inspection | # Interactively explore your Huggingface dataset with one line of code The Hugging Face [*datasets* library](https://huggingface.co/docs/datasets/index) not only provides access to more than 70k publicly available datasets, but also offers very convenient data preparation pipelines for custom datasets. [Renumics Sp... |
Personal Copilot: Train Your Own Coding Assistant | smangrul | October 27, 2023 | personal-copilot | bigcode, llm, nlp, inference, guide | https://huggingface.co/blog/personal-copilot | # Personal Copilot: Train Your Own Coding Assistant In the ever-evolving landscape of programming and software development, the quest for efficiency and productivity has led to remarkable innovations. One such innovation is the emergence of code generation models such as [Codex](https://openai.com/blog/openai-codex),... |
Creating open machine learning datasets? Share them on the Hugging Face Hub! | davanstrien | October 30, 2023 | researcher-dataset-sharing | community, research, datasets, guide | https://huggingface.co/blog/researcher-dataset-sharing | # Creating open machine learning datasets? Share them on the Hugging Face Hub! ## Who is this blog post for? Are you a researcher doing data-intensive research or using machine learning as a research tool? As part of this research, you have likely created datasets for training and evaluating machine learning models,... |
Introducing Storage Regions on the HF Hub | julien-c | November 3, 2023 | regions | announcement, enterprise, hub | https://huggingface.co/blog/regions | # Introducing Storage Regions on the Hub As part of our [Enterprise Hub](https://huggingface.co/enterprise) plan, we recently released support for **Storage Regions**. Regions let you decide where your org's models and datasets will be stored. This has two main benefits, which we'll briefly go over in this blog post... |
Comparing the Performance of LLMs: A Deep Dive into Roberta, Llama 2, and Mistral for Disaster Tweets Analysis with Lora | mehdiiraqui | November 7, 2023 | Lora-for-sequence-classification-with-Roberta-Llama-Mistral | nlp, guide, llm, peft | https://huggingface.co/blog/Lora-for-sequence-classification-with-Roberta-Llama-Mistral | # Comparing the Performance of LLMs: A Deep Dive into Roberta, Llama 2, and Mistral for Disaster Tweets Analysis with Lora <!-- TOC --> - [Comparing the Performance of LLMs: A Deep Dive into Roberta, Llama 2, and Mistral for Disaster Tweets Analysis with LoRA](#comparing-the-performance-of-llms-a-deep-dive-into-rober... |
Introducing Prodigy-HF: a direct integration with Hugging Face | koaning | November 7, 2023 | prodigy-hf | community, nlp, datasets, guide | https://huggingface.co/blog/prodigy-hf | # Introducing Prodigy-HF [Prodigy](https://prodi.gy/) is an annotation tool made by [Explosion](https://explosion.ai/), a company well known as the creators of [spaCy](https://spacy.io/). It's a fully scriptable product with a large community around it. The product has many features, including tight integration with... |
Make your llama generation time fly with AWS Inferentia2 | dacorvo | November 7, 2023 | inferentia-llama2 | guide, text-generation, llama2, aws | https://huggingface.co/blog/inferentia-llama2 | # Make your llama generation time fly with AWS Inferentia2 In a [previous post on the Hugging Face blog](https://huggingface.co/blog/accelerate-transformers-with-inferentia2), we introduced [AWS Inferentia2](https://aws.amazon.com/ec2/instance-types/inf2/), the second-generation AWS Inferentia accelerator, and explai... |
SDXL in 4 steps with Latent Consistency LoRAs | pcuenq | November 9, 2023 | lcm_lora | sdxl, lcm, stable diffusion, guide | https://huggingface.co/blog/lcm_lora | # SDXL in 4 steps with Latent Consistency LoRAs [Latent Consistency Models (LCM)](https://huggingface.co/papers/2310.04378) are a way to decrease the number of steps required to generate an image with Stable Diffusion (or SDXL) by _distilling_ the original model into another version that requires fewer steps (4 to 8 ... |
Open LLM Leaderboard: DROP deep dive | clefourrier | December 1, 2023 | leaderboard-drop-dive | community, research, nlp, evaluation, leaderboard | https://huggingface.co/blog/leaderboard-drop-dive | # Open LLM Leaderboard: DROP deep dive Recently, [three new benchmarks](https://twitter.com/clefourrier/status/1722555555338956840) were added to the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard): Winogrande, GSM8k and DROP, using the original implementations reproduced in th... |
Goodbye cold boot - how we made LoRA inference 300% faster | raphael-gl | December 5, 2023 | lora-adapters-dynamic-loading | diffusers, lora, models, inference, stable-diffusion | https://huggingface.co/blog/lora-adapters-dynamic-loading | # Goodbye cold boot - how we made LoRA Inference 300% faster tl;dr: We swap the Stable Diffusion LoRA adapters per user request, while keeping the base model warm allowing fast LoRA inference across multiple users. You can experience this by browsing our [LoRA catalogue](https://huggingface.co/models?library=diffuser... |
Optimum-NVIDIA - Unlock blazingly fast LLM inference in just 1 line of code | laikh-nvidia | December 5, 2023 | optimum-nvidia | llm, nvidia, llama, inference, optimum | https://huggingface.co/blog/optimum-nvidia | # Optimum-NVIDIA on Hugging Face enables blazingly fast LLM inference in just 1 line of code Large Language Models (LLMs) have revolutionized natural language processing and are increasingly deployed to solve complex problems at scale. Achieving optimal performance with these models is notoriously challenging due to... |
SetFitABSA: Few-Shot Aspect Based Sentiment Analysis using SetFit | ronenlap | December 6, 2023 | setfit-absa | research, nlp | https://huggingface.co/blog/setfit-absa | # SetFitABSA: Few-Shot Aspect Based Sentiment Analysis using SetFit <p align="center"> <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/setfit-absa/method.png" width=500> </p> <p align="center"> <em>SetFitABSA is an efficient technique to detect the sentiment tow... |
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