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We can just use the default, runpod embedding endpoint for vllm is nothing special and just passes through to vllm |
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| .. | ||
| agents | ||
| datasetio | ||
| eval | ||
| files/s3 | ||
| inference | ||
| post_training | ||
| safety | ||
| tool_runtime | ||
| vector_io | ||
| __init__.py | ||