Jasaxion

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LexSemBridge_CLR_snowflake

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This PR enhances the model card for LexSemBridge by:

• Updating the pipeline_tag to feature-extraction, which more accurately reflects the model's primary function of generating dense representations for retrieval tasks. This ensures better discoverability on the Hugging Face Hub (e.g., https://huggingface.co/models?pipeline_tag=feature-extraction).
• Adding Jasaxion/LexSemBridge_eval to the datasets metadata, as this dataset is explicitly mentioned in the GitHub README for training and evaluation.
• Adding en to the language metadata.
• Including license: apache-2.0 to provide clear licensing information for the model.
• Adding lexsembridge to the tags metadata for improved searchability.
• Adding a direct link to the paper LexSemBridge: Fine-Grained Dense Representation Enhancement through Token-Aware Embedding Augmentation.
• Including a link to the official GitHub repository, https://github.com/Jasaxion/LexSemBridge/, for easy access to the code.
• Updating the sample usage snippet to refer to a specific model ID (Jasaxion/LexSemBridge_CLR_snowflake) mentioned in the project's GitHub README.
• Populating the BibTeX citation section for proper attribution.

These improvements will make the model more discoverable and provide users with comprehensive information and resources.