Artificial intelligence (AI) has advanced rapidly in recent years, and finding the right models and checkpoints can significantly impact your projects. In this article, we will explore the top websites where you can find pre-trained AI models and checkpoints.
The Hugging Face Model Hub is a popular platform offering a wide variety of models, particularly in natural language processing (NLP).
You can easily load models using the
transformers
library:from transformers import pipeline model = pipeline('sentiment-analysis')
TensorFlow Hub provides a repository of pre-trained models for various tasks ranging from image classification to text generation.
Here's a snippet to load a model from TensorFlow Hub:
import tensorflow_hub as hub model = hub.load('https://tfhub.dev/google/imagenet/mobilenet_v2_100_224/classification/4')
PyTorch Hub is another excellent source for pre-trained models, catering to the PyTorch community.
Using a pre-trained model is simple with PyTorch hub. Here's how to do it:
import torch model = torch.hub.load('pytorch/vision', 'resnet50', pretrained=True)
The ONNX Model Zoo offers models that support various frameworks through the ONNX format, enabling developers to switch frameworks seamlessly.
When starting your journey into AI, these platforms provide invaluable resources for finding the right models and checkpoints. Whether you are working on natural language processing, image classification, or other AI tasks, you can leverage the resources available on these sites.