Models to archive
Fill-Mask • Updated • 60.4M • 2kNote BERT revolutionized natural language understanding by deeply analyzing words in relation to their context, paving the way for more accurate and context-aware language models.
distilbert/distilbert-base-uncased
Fill-Mask • Updated • 13.8M • 580Note DistilBERT is a streamlined version of BERT, offering similar language understanding capabilities but with faster performance and a smaller size, making it more accessible for everyday use.
openai-community/gpt2
Text Generation • Updated • 10.1M • • 2.46kNote GPT-2 was a groundbreaking language model by OpenAI that can generate coherent and diverse paragraphs of text. Its release sparked discussions about the power and ethical implications of advanced AI models in content creation.
bigscience/bloom
Text Generation • Updated • 28.8k • 4.8kNote BigScience Bloom was an initiative that aimed to democratize large-scale AI research, promoting collaboration across the global community. This model represented a step towards making advanced AI research more open and inclusive.
microsoft/resnet-50
Image Classification • Updated • 75.8M • • 327Note ResNet-50 was a deep learning model introduced by Microsoft that dramatically improved image recognition tasks. Its innovative design allowed for much deeper networks without the training problems typically associated with depth, setting new standards in the field of computer vision.
stabilityai/stable-diffusion-2-1
Text-to-Image • Updated • 1.02M • 3.91k
openai/whisper-small
Automatic Speech Recognition • Updated • 6.96M • 315Note OpenAI/Whisper-small is a small, fast, and accurate speech recognition model that can be used for a variety of tasks, such as transcribing speech in real time, translating speech from one language to another, and identifying the language of a piece of speech. It was the last open source model release by openai.
suno/bark
Text-to-Speech • Updated • 31.7k • 1.19kfacebook/wav2vec2-xls-r-300m
Updated • 252k • 80