Instructions to use Linhz/AlphaEdu_ViT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Linhz/AlphaEdu_ViT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Linhz/AlphaEdu_ViT5") model = AutoModelForMultimodalLM.from_pretrained("Linhz/AlphaEdu_ViT5") - Notebooks
- Google Colab
- Kaggle
[WIP] Upload folder using huggingface_hub (multi-commit 464084a69ef426035653a71124cc81f0c8f24d764cf67f3ae5ac53ceffc525e1)
#1
by Linhz - opened
Upload folder using huggingface_hub
Multi commit ID: 464084a69ef426035653a71124cc81f0c8f24d764cf67f3ae5ac53ceffc525e1
Scheduled commits:
- Upload 3 file(s) totalling 903.8M (a3893517cfcc19c28edbc81264ad5f66d12f316408086f7cd78cd93e2409e5a8)
- Upload 9 file(s) totalling 1.8G (7503d038da925fdc0b67b50aca995d95aa5696cdca0e4ff97db6ad0fee97ac37)
This is a PR opened using the huggingface_hub library in the context of a multi-commit. PR can be commented as a usual PR. However, please be aware that manually updating the PR description, changing the PR status, or pushing new commits, is not recommended as it might corrupt the commit process. Learn more about multi-commits in this guide.