Instructions to use uclanlp/visualbert-vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/visualbert-vqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="uclanlp/visualbert-vqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("uclanlp/visualbert-vqa") model = AutoModelForQuestionAnswering.from_pretrained("uclanlp/visualbert-vqa") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 2 years ago
by
SFconvertbot
visualBERT config.json
#2 opened almost 3 years ago
by
wayne123456
model documentation
1
#1 opened over 3 years ago
by
nazneen