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
Commit 路
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Parent(s): a83c5cd
Add Model
Browse files- config.json +0 -0
- pytorch_model.bin +3 -0
config.json
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0ae380f5aeec7fbf4e4b7c74bf543e5e7e2d6fbb88c1862d9949880af9f68200
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size 455482883
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