跳到主要内容
GitStars
登录
其他人工智能MIT

Repository dossier

openai/CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Brief / README 摘要

查看原文

[[Blog]](https://openai.com/blog/clip/) [[Paper]](https://arxiv.org/abs/2103.00020) [[Model Card]](model-card.md) [[Colab]](https://colab.research.google.com/github/openai/clip/blob/master/notebooks/Interacting_with_CLIP.ipynb) CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs. It can be instructed in natural language to predict the most relevant text snippet, given an image, without directly optimizing for the task, similarly to the zero-shot capabilities of GPT-2 and 3. We found CLIP matches the performance of the original ResNet50…

Topics / 标签

01

相关推荐

浏览全部
01
rasbt/LLMs-from-scratch★ 107.7kJupyter Notebook

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

其他人工智能更新于 2026-10-30
03
pytorch/pytorch★ 105.1kPython

Tensors and Dynamic neural networks in Python with strong GPU acceleration

其他人工智能更新于 2026-11-01
04
huggingface/transformers★ 168.4kPython

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

其他人工智能更新于 2026-11-01
05

An Open Source Machine Learning Framework for Everyone

其他人工智能更新于 2026-11-01
06
microsoft/ML-For-Beginners★ 91.9kJupyter Notebook

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

其他人工智能更新于 2026-10-31