Revert "add model card"

This reverts commit 75faa32a38be0b71d3d20b8696ba4ae10f61acda.

.idea/.gitignore

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-# Default ignored files
-/shelf/
-/workspace.xml

.idea/inspectionProfiles/profiles_settings.xml

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-<component name="InspectionProjectProfileManager">
-  <settings>
-    <option name="USE_PROJECT_PROFILE" value="false" />
-    <version value="1.0" />
-  </settings>
-</component>

.idea/modules.xml

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-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="ProjectModuleManager">
-    <modules>
-      <module fileurl="file://$PROJECT_DIR$/.idea/simcse-chinese-roberta-wwm-ext.iml" filepath="$PROJECT_DIR$/.idea/simcse-chinese-roberta-wwm-ext.iml" />
-    </modules>
-  </component>
-</project>

.idea/simcse-chinese-roberta-wwm-ext.iml

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-<?xml version="1.0" encoding="UTF-8"?>
-<module type="PYTHON_MODULE" version="4">
-  <component name="NewModuleRootManager">
-    <content url="file://$MODULE_DIR$" />
-    <orderEntry type="inheritedJdk" />
-    <orderEntry type="sourceFolder" forTests="false" />
-  </component>
-</module>

.idea/vcs.xml

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-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="VcsDirectoryMappings">
-    <mapping directory="$PROJECT_DIR$" vcs="Git" />
-  </component>
-</project>

README.md

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-## Cyclone SIMCSE RoBERTa WWM Ext Chinese
-
-This model provides simplified Chinese sentence embeddings encoding based on [Simple Contrastive Learning](https://arxiv.org/abs/2104.08821).
-The pretrained model(Chinese RoBERTa WWM Ext) is used for token encoding.
-
-### Usage
-Please use [SentenceTransformer](https://github.com/UKPLab/sentence-transformers) to load the model.
-
-    from sentence_transformers import SentenceTransformer
-    
-    encoder = SentenceTransformer('cyclone/simcse-chinese-roberta-wwm-ext')