replicate / all-mpnet-base-v2

This is a language model that can be used to obtain document embeddings suitable for downstream tasks like semantic search and clustering.

Demo API Examples README Train Versions (b6b7585c)

If you haven’t yet trained a model on Replicate, we recommend you read one of the following guides.


Trainings for this model run on Nvidia T4 GPU hardware, which costs $0.000225 per second.

Create a training

Install the Python library:

pip install replicate

Then, run this to create a training with replicate/all-mpnet-base-v2:b6b7585c as the base model:

import replicate

training = replicate.trainings.create(
    # set your inputs here

curl -s -X POST \
-d '{"destination": "{username}/<destination-model-name>", "input": {}}' \
  -H "Authorization: Token $REPLICATE_API_TOKEN" \

The API response will look like this:

  "id": "zz4ibbonubfz7carwiefibzgga",
  "version": "b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305",
  "status": "starting",
  "input": {
    "data": "..."
  "output": null,
  "error": null,
  "logs": null,
  "started_at": null,
  "created_at": "2023-03-28T21:47:58.566434Z",
  "completed_at": null

Note that before you can create a training, you’ll need to create a model and use its name as the value for the destination field.