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The Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:” or “passage:”, as the model was explicitly trained with this format.
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The service tier used for processing the request. When set to 'priority', the request will be processed with higher priority. 3
whether to normalize the computed embeddings 2
The number of dimensions in the embedding. If not provided, the model's default will be used.If provided bigger than model's default, the embedding will be padded with zeros. (Default: empty, 32 ≤ dimensions ≤ 8192)
[
[
0,
0.5,
1
],
[
1,
0.5,
0
]
]
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