default["In the water, fish are swimming.", "Fish swim in the water.", "A book lies open on the table."]
typetext
{
"batch_size": 32,
"normalize_embeddings": true,
"texts": "[\"In the water, fish are swimming.\", \"Fish swim in the water.\", \"A book lies open on the table.\"]"
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_UaH**********************************
This is your API token. Keep it to yourself.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run beautyyuyanli/multilingual-e5-small using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"beautyyuyanli/multilingual-e5-small:8c3aa2e2577e2c129f16eb960d92829433f232aef1b46a49f80272e6ad6e32ca",
{
input: {
batch_size: 32,
normalize_embeddings: true,
texts: "[\"In the water, fish are swimming.\", \"Fish swim in the water.\", \"A book lies open on the table.\"]"
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_UaH**********************************
This is your API token. Keep it to yourself.
import replicate
Run beautyyuyanli/multilingual-e5-small using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"beautyyuyanli/multilingual-e5-small:8c3aa2e2577e2c129f16eb960d92829433f232aef1b46a49f80272e6ad6e32ca",
input={
"batch_size": 32,
"normalize_embeddings": True,
"texts": "[\"In the water, fish are swimming.\", \"Fish swim in the water.\", \"A book lies open on the table.\"]"
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_UaH**********************************
This is your API token. Keep it to yourself.
Run beautyyuyanli/multilingual-e5-small using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
-H "Content-Type: application/json" \
-H "Prefer: wait" \
-d $'{
"version": "beautyyuyanli/multilingual-e5-small:8c3aa2e2577e2c129f16eb960d92829433f232aef1b46a49f80272e6ad6e32ca",
"input": {
"batch_size": 32,
"normalize_embeddings": true,
"texts": "[\\"In the water, fish are swimming.\\", \\"Fish swim in the water.\\", \\"A book lies open on the table.\\"]"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "pzznfwtb2pzd5i2t7ad64bviem",
"model": "beautyyuyanli/multilingual-e5-small",
"version": "8c3aa2e2577e2c129f16eb960d92829433f232aef1b46a49f80272e6ad6e32ca",
"input": {
"batch_size": 32,
"normalize_embeddings": true,
"texts": "[\"In the water, fish are swimming.\", \"Fish swim in the water.\", \"A book lies open on the table.\"]"
},
"logs": "",
"output": [
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