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.

Run with an API
Playground API Examples README Train Versions

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

Pricing

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(
  version="replicate/all-mpnet-base-v2:b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305",
  input={
    ...
  },
  destination=f"{username}/<destination-model-name>"
)

print(training)

curl -s -X POST \
-d '{"destination": "{username}/<destination-model-name>", "input": {...}}' \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  https://api.replicate.com/v1/models/replicate/all-mpnet-base-v2/versions/b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305/trainings

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.