Models / Embeddings / Multilingual e5 large instruct API
Multilingual e5 large instruct API
Embeddings
Instruction-tuned multilingual embedding model trained on 1B+ pairs across 93 languages, excelling in retrieval tasks.
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API Usage
How to use Multilingual e5 large instructModel CardPrompting Multilingual e5 large instructApplications & Use CasesMultilingual e5 large instruct API Usage
Endpoint
intfloat/multilingual-e5-large-instruct
RUN INFERENCE
curl -X POST "https://api.together.xyz/v1/embeddings" \
-H "Authorization: Bearer $TOGETHER_API_KEY" \
-H "Content-Type: application/json" \
-d {
"model": "intfloat/multilingual-e5-large-instruct",
"input": "Our solar system orbits the Milky Way galaxy at about 515,000 mph"
}'JSON RESPONSE
RUN INFERENCE
from together import Together
client = Together()
response = client.embeddings.create(
model="intfloat/multilingual-e5-large-instruct",
input="Our solar system orbits the Milky Way galaxy at about 515,000 mph"
)
print(response.data[0].embedding)JSON RESPONSE
RUN INFERENCE
import Together from "together-ai";
const together = new Together();
const response = await together.embeddings.create({
model: "intfloat/multilingual-e5-large-instruct",
input: "Our solar system orbits the Milky Way galaxy at about 515,000 mph"
});
console.log(response.data[0].embedding);JSON RESPONSE
Model Provider:
intfloat
Type:
Embeddings
Variant:
Parameters:
560M
Deployment:
✔️ Serverless
Quantization
Context length:
Pricing:
$0.02
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Quickstart docs
Quickstart docs
How to use Multilingual e5 large instruct
Model details
Prompting Multilingual e5 large instruct
Applications & Use Cases
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