File size: 1,012 Bytes
f72c7d7 51304ff f72c7d7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 |
# To fine-tuning Details
"facebook/dino-vitb16" # pre-trained model from which to fine-tune
"Graphcore/vit-base-ipu" # config specific to the IPU (Used POD4)
How to use in IPU: [https://huggingface.co/internetoftim/dinov2-base/blob/main/image_classification-dinov2-base.ipynb](https://huggingface.co/internetoftim/dinov2-base/blob/main/image_classification-dinov2-base.ipynb)
Run the notebooks in this repository:
[![Run on Gradient](https://assets.paperspace.io/img/gradient-badge.svg)](https://ipu.dev/3YOs4Js)
Poplar SDK: v3.2.1
Dataset:
load a custom dataset from local/remote files or folders using the ImageFolder feature
option 1: local/remote files (supporting the following formats: tar, gzip, zip, xz, rar, zstd)
url = "https://madm.dfki.de/files/sentinel/EuroSAT.zip"
files = list(Path(dataset_dir).rglob("EuroSAT.zip"))
[![Ask for help in GC Slack ](https://img.shields.io/badge/Slack-Join%20Graphcore's%20Community-blue?style=flat-square&logo=slack)](https://www.graphcore.ai/join-community) |