Instructions to use calisolo/OFA_huge_NICE_captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use calisolo/OFA_huge_NICE_captioning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import OFAModelForCaption model = OFAModelForCaption.from_pretrained("calisolo/OFA_huge_NICE_captioning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload 6 files
f93894a -
Upload 17 files
upload ensemble candidates0ccc8bd -
Delete data
99ad9eb -
Upload 3 files
change version to submission 34101489
-
Upload 2 files
train/test data addedd894bc8 -
Update README.md
bbb08a8 -
Update README.md
ad63f45 -
Update README.md
4e73098 -
Upload 8 files
upload one of the checkpoint for NICE (image captioning challenge) entry based on OFA-huge67e6c31 -
initial commit
5180fc4