CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
Paper • 2406.15669 • Published
YAML Metadata Warning:The pipeline tag "text-to-text" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Pretrained models used for evaluation under the CARE benchmarks, which were trained using the training splits in CARE. For Task 1, we include CLEAN and Pika. For Task 2, we include CREEP and CLIPZyme.
This repository contains models described in CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support