Instructions to use uclanlp/visualbert-vcr-pre with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/visualbert-vcr-pre with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("uclanlp/visualbert-vcr-pre") model = AutoModelForPreTraining.from_pretrained("uclanlp/visualbert-vcr-pre") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39683e3abcd80016af6921cc5587f4eb805ebfa650b70c4584ec289024ecce9d
- Size of remote file:
- 444 MB
- SHA256:
- 4f17766f1793d3a8e9d10b248a73581513af2ef6ec96994d3e878806fcc32898
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.