Model reference · open weights

timesformer_GP_scroll1

Available as managed deployment Embeddings scrollprize Embeddings 1 variants 649 dl/mo

timesformer_GP_scroll1 is an open-weight embedding model from scrollprize. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released byscrollprize
TypeEmbedding models
TaskEmbeddings
Parameters (lead)38M
Runs withtransformers
Released2024-12-12
Popularity649 downloads / month
LicenceUnknown

About

What timesformer_GP_scroll1 is

The grandprize winning model of the Vesuvius Challenge of 2023.

Model Details

Model Description

The grandprize winning model of the Vesuvius Challenge of 2023. The model features a small TimeSformer architecture trained on image segmentation task to detect ink in 3d images. This model takes as input the 3d image and outputs a 2d map of ink detections, roughly 1/16 the size of the input.

  • Developed by: Youssef Nader as part of the Grandprize Winning Team
  • Model type: TimeSformer
  • License: MIT

Model Sources

  • Repository: https://github.com/younader/Vesuvius-Grandprize-Winner [archived] Active development resumed here: https://github.com/ScrollPrize/villa

How to Get Started with the Model

Make sure to have the dependencies installed, namely transformers and Timesformer package

Read the full model card
pip install -U transformers timesformer-pytorch

Next you can run the model as follows:

from transformers import AutoModel
model = AutoModel.from_pretrained("YoussefMoNader/timesformer_GP_scroll1", trust_remote_code=True)

the model expects a (B,1,26,64,64) tensor

Hardware

The model was trained on 4xH100 for 8 hours. This model was trained for 12 epochs on total, a single epoch takes around 45 mins using the old script train_timesformer_og.py

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys timesformer-gp-scroll1 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (timesformer-gp-scroll1 below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/embeddings \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"timesformer-gp-scroll1","input":"text to embed"}'

Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.

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