Hi there!
This PR aims to enhance the `ASearcher-Web-QwQ-32B` model card by improving its discoverability and providing more immediate utility to users.
Specifically, it:
- Adds the `pipeline_tag: text-generation` to the metadata, which helps users find your model when browsing for text generation models on the Hugging Face Hub (e.g., via [https://huggingface.co/models?pipeline_tag=text-generation](https://huggingface.co/models?pipeline_tag=text-generation)).
- Adds the `library_name: transformers` to the metadata, ensuring the model's compatibility with the `transformers` library is explicitly stated and enabling the "Use in Transformers" widget.
- Adds relevant `tags` such as `agent`, `search`, and `qwen` for better categorization and searchability on the Hub.
- Prominently displays the official Hugging Face Paper link for easier access to the research.
- Includes a `transformers`-based Python code snippet for basic text generation in the "Quickstart" section, making it easier for …
