Convert text into vectors (embeddings) that capture semantic meaning
Basic usage
Each feature extraction model is different, so check readme.md for the model manual. Below is an example of text embedding model
import Bytez from 'bytez.js';// insert your keyconst sdk = new Bytez('BYTEZ_KEY');// choose your modelconst model = sdk.model('nomic-ai/nomic-embed-text-v1.5');// provide the model with inputconst input = "search_document: Turn this text into a vector";// send to the modelconst { error, output } = await model.run(input);// observe the outputconsole.log({ error, output });
from bytez import Bytez# insert your keysdk = Bytez("BYTEZ_KEY")# choose your modelmodel = sdk.model("nomic-ai/nomic-embed-text-v1.5")# provide the model with inputinput = "search_document: Turn this text into a vector"# send to the modelresult = model.run(input)# observe the outputprint({"error": result.error, "output": result.output})
curl -X POST 'https://api.bytez.com/models/v2/nomic-ai/nomic-embed-text-v1.5' \-H 'Authorization: BYTEZ_KEY' \-H 'Content-Type: application/json' \--data '{ "text": "search_document: Turn this text into a vector"}'
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