Clarify TOL-200M revision used for training

README.md

@@ -1,35 +1,43 @@
----
-license:
-- mit
-language:
-- en
-library_name: open_clip
-model_name: "BioCLIP 2"
-model_description: "Foundation model for biology 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."
-tags:
-- 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
----
+---
+license:
+- mit
+language:
+- en
+library_name: open_clip
+model_name: BioCLIP 2
+model_description: >-
+  Foundation model for biology 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.
+tags:
+- biology
+- CV
+- images
+- imageomics
+- clip
+- species-classification
+- biological visual task
+- multimodal
+- animals
+- plants
+- fungi
+- 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
+new_version: imageomics/bioclip-2.5-vith14
+---
 
 <!--
 Image with caption (jpg or png):
@@ -67,7 +75,7 @@ We evaluate BioCLIP 2 on a diverse set of biological tasks. Through training at
 
 ### Model Sources
 
-- **Homepage:** https://imageomics.github.io/bioclip-2/
+- **Homepage:** [BioCLIP 2 Project Page](https://imageomics.github.io/bioclip-2/)
 - **Repository:** [BioCLIP 2](https://github.com/Imageomics/bioclip-2)
 - **Paper:** [BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning](https://doi.org/10.48550/arXiv.2505.23883)
 - **Demo:** [BioCLIP 2 Demo](https://huggingface.co/spaces/imageomics/bioclip-2-demo)
@@ -110,7 +118,7 @@ tokenizer = open_clip.get_tokenizer('hf-hub:imageomics/bioclip-2')
 
 ### Training Data
 
-The model was trained with [TreeOfLife-200M](https://huggingface.co/datasets/imageomics/TreeOfLife-200M).
+The model was trained with [TreeOfLife-200M](https://huggingface.co/datasets/imageomics/TreeOfLife-200M) (Revision [a8f38b4](http://huggingface.co/datasets/imageomics/TreeOfLife-200M/tree/a8f38b4388579862c56ae57d6f094c2ac0e92e12)).
 The dataset consists of nearly 214M images covering 952K taxa. 
 The scale of TreeOfLife-200M fosters the emergent properties of BioCLIP 2.
 
@@ -439,4 +447,4 @@ Any opinions, findings and conclusions or recommendations expressed in this mate
 Jianyang Gu
 
 ## Model Card Contact
-[gu.1220@osu.edu](mailto:gu.1220@osu.edu)
+[gu.1220@osu.edu](mailto:gu.1220@osu.edu)