jinaai

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jina-embeddings-v3

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Jina AI 440

Have you tried to pass show_progress_bar=False to the encode function?

I tried your code with this and I only see the reporting from your own process bar after the change:

import asyncio
import logging

import numpy as np
import torch
import tqdm.asyncio as tqdm
from tqdm.contrib.logging import logging_redirect_tqdm
from transformers import AutoModel

logger = logging.getLogger(__name__)


async def main():
    text_encoder_model = AutoModel.from_pretrained("jinaai/jina-embeddings-v3", trust_remote_code=True)

    if torch.cuda.is_available():
        text_encoder_model.to(torch.device('cuda'))
        text_encoder_model = text_encoder_model.to(torch.bfloat16)

        for i in tqdm.tqdm(range(100), desc="Encoding and commiting", unit="messages", unit_scale=32):
-           embedding = text_encoder_model.encode("Hello", task="retrieval.passage", truncate_dim=128 * 6)
+           embedding = text_encoder_model.encode("Hello", task="retrieval.passage", truncate_dim=128 * 6,  show_progress_bar=False)
            logger.info(f"{np.mean(embedding, axis=0)}")
            await asyncio.sleep(0.5)


if __name__ == '__main__':
    # logging.basicConfig(level=logging.ERROR, format="[+%(relativeCreated)d ms] [%(asctime)s] %(message)s", datefmt="%H:%M:%S")
    logging.basicConfig(level=logging.INFO, format="[+%(relativeCreated)d ms] [%(asctime)s] %(message)s", datefmt="%H:%M:%S")
    logger.setLevel(logging.DEBUG)

    with logging_redirect_tqdm(loggers=[logger]):
        asyncio.run(main())

If you don't pass the show_progress_bar argument the model determines based on the log lever whether to set it to True or False. I think this is causing your code to show the progress bar.