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F2LLM-1.7B

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This PR improves the model card for the F2LLM model by:

• Adding the pipeline_tag: feature-extraction metadata, which categorizes the model correctly as an embedding model and improves its discoverability on the Hugging Face Hub.
• Specifying library_name: transformers as the model's usage snippet demonstrates compatibility with the Hugging Face Transformers library, enabling the automated "How to use" code snippet.
• Moving the metadata to the top as YAML front matter.
• Adding the paper title as the main heading.
• Providing prominent links to the paper (F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data) and the GitHub repository (https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM) at the beginning of the model card for improved visibility.

The existing content, including usage examples, evaluation details, training information, and citation, remains largely unchanged to preserve the original author's documentation.