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README.md
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The bge-large-en-v1.5 model trained on ToolRet-train dataset, a large-scale training dataset for tool retrieval task.
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This trained `ToolRet-trained-bge-large-en-v1.5` can be used to retrieve useful tools for LLM-based agents in downstream tool-use tasks.
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"prompt": "Given a `URL availability` task, retrieve tools that check if a given URL is archived and accessible on a specific date in the Wayback Machine."
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```
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We use the [FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding/) python library to train the embedding models. To train the embedding models on our datasets, please see the `script/train.sh` in our [Github](https://github.com/mangopy/tool-retrieval-benchmark) for more details. The version of FlagEmbedding is `1.3.3` as provided in the `requirements.yml` file.
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---
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language:
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- en
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base_model:
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- BAAI/bge-large-en-v1.5
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---
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The bge-large-en-v1.5 model trained on ToolRet-train dataset, a large-scale training dataset for tool retrieval task.
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This trained `ToolRet-trained-bge-large-en-v1.5` can be used to retrieve useful tools for LLM-based agents in downstream tool-use tasks.
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"prompt": "Given a `URL availability` task, retrieve tools that check if a given URL is archived and accessible on a specific date in the Wayback Machine."
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}
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```
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We use the [FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding/) python library to train the embedding models. To train the embedding models on our datasets, please see the `script/train.sh` in our [Github](https://github.com/mangopy/tool-retrieval-benchmark) for more details. The version of FlagEmbedding is `1.3.3` as provided in the `requirements.yml` file.
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