Hugging Face は、自然言語処理アプリケーション用に構築された Transformers ライブラリと、ユーザーが 機械学習 モデルとデータセットを共有できるプラットフォームで最も有名です。このコネクタは、次の製品および地域で利用可能です:
Entalpic, in collaboration with Hugging Face, has launched LeMaterial, an open-source initiative to tackle key challenges in materials science. By unifying data from major resources into LeMat-Bulk, a harmonized dataset with 6.7 million entries, LeMaterial aims to streamline materials discovery and...
一、Quicktour https://huggingface.co/docs/diffusers/main/en/quicktourhuggingface.co/docs/diffusers/main/en/quicktour Hugging face中的Diffusers库主要有如下三种组件: (1)DiffusionPipeline:是一个高级别的端到端类,旨在从预训练的扩散模型中快速生成样本以供推理 (2)model:预训练的模型架构和模块,可用作...
But sometimes, when you start, it is really hard to pick one. That’s why, I decided to share my experience in going through this path. In this article we will: Get familiar with the Hugging Face platform Explore the basics of Inference API on the Hugging Face Create Spring Boot ...
Once it's ready to use, you don't have to host the model in another platform: you can run it directly from Hugging Face, send requests, and pull the outputs into any apps you're building. If you don't want to start from scratch, you can browse Hugging Face's model library. Out ...
a lot about ML and AI-- so it is also a good practical primer on getting started and understanding how things work. Absolutely I'd recommend this for someone who is looking towards better leveraging hugging face, as well as someone looking to get a quick primer on various ML/AI options....
But that is not where it stops, Hugging Face also allowed people to host their AI models. This led to easier collaboration with other people, resulting in more efficient models. Moreover, you could just run the models using the inference API for a quick demo, and do more with it as you...
Connect Hugging Face and Speak Ai to unlock the power of automation No credit card required Free forever for core features 14-day trial for premium features and apps Choose a Trigger Start here When this happens... Choose an Action automatically do this! Connect Hugging Face and Speak Ai ...
For more details on using the library, check the quick start page in the documentation: https://huggingface.co/docs/datasets/quickstart and the specific pages on: Loading a dataset: https://huggingface.co/docs/datasets/loading What's in a Dataset: https://huggingface.co/docs/datasets/access ...
The Hugging Face Hub uses tokens to authenticate applications (see docs). To log in your machine, run the following CLI: huggingface-cli login # or using an environment variable huggingface-cli login --token $HUGGINGFACE_TOKEN Create a repository from huggingface_hub import create_repo create_rep...