Model: mahan-ym/bioclip-2-quantized
Author: mahan-ym
Pipeline: zero-shot-image-classification
Tags: onnx, bioclip, bioclip-2, biology, CV, images, imageomics, clip, species-classification, biological visual task, multimodal, animals, species, taxonomy, rare species, endangered species, evolutionary biology, knowledge-guided, zero-shot-image-classification, en, dataset:imageomics/TreeOfLife-200M, dataset:GBIF, dataset:bioscan-ml/BIOSCAN-5M, dataset:EOL, dataset:FathomNet, base_model:imageomics/bioclip-2, base_model:quantized:imageomics/bioclip-2, license:mit, region:us
Base models (quantized): id: imageomics/bioclip-2
Card metadata: license: mit
language: en
model_name: BioCLIP-2 Quantized
model_description: BioCLIP-2 Quantized is a quantized version of BioCLIP-2, a foundation model for biological organismal images. It is trained on TreeOfLife-200M on the basis of a CLIP model (ViT-14/L) pre-trained on LAION-2B. BioCLIP-2 yields state-of-the-art performance in recognizing various species. More importantly, it demonstrates emergent properties beyond species classification after extensive hierarchical contrastive training.
base_model: imageomics/bioclip-2
tags: bioclip, bioclip-2, biology, CV, images, imageomics, clip, species-classification, biological visual task, multimodal, animals, species, taxonomy, rare species, endangered species, evolutionary biology, knowledge-guided, zero-shot-image-classification
datasets: imageomics/TreeOfLife-200M, GBIF, bioscan-ml/BIOSCAN-5M, EOL, FathomNet
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Created: 2025-11-21 09:48:30