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| <head> | |
| <title>intfloat/e5-large-v2 OpenAI API-Compatible Endpoint</title> | |
| </head> | |
| <body> | |
| <h1>intfloat/e5-large-v2 OpenAI API-Compatible Endpoint</h1> | |
| <p> | |
| With the utilization of the | |
| <a href="https://pypi.org/project/open-text-embeddings/" | |
| >open-text-embeddings</a | |
| > | |
| package, we are excited to introduce the text embeddings model hosted in | |
| the Hugging Face Docker Spaces, made accessible through an | |
| OpenAI-compatible API. This space includes comprehensive API documentation | |
| to facilitate seamless integration. | |
| </p> | |
| <ul> | |
| <li> | |
| The API endpoint: | |
| <a href="https://limcheekin-e5-large-v2.hf.space/v1" | |
| >https://limcheekin-e5-large-v2.hf.space/v1</a | |
| > | |
| </li> | |
| <li> | |
| The API doc: | |
| <a href="https://limcheekin-e5-large-v2.hf.space/docs" | |
| >https://limcheekin-e5-large-v2.hf.space/docs</a | |
| > | |
| </li> | |
| </ul> | |
| <p> | |
| If you find this resource valuable, your support in the form of starring | |
| the space would be greatly appreciated. Your engagement plays a vital role | |
| in furthering the application for a community GPU grant, ultimately | |
| enhancing the capabilities and accessibility of this space. | |
| </p> | |
| </body> | |
| </html> | |