Instructions to use daki97/visualbert_finetuned_easy_vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daki97/visualbert_finetuned_easy_vqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="daki97/visualbert_finetuned_easy_vqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("daki97/visualbert_finetuned_easy_vqa") model = AutoModelForQuestionAnswering.from_pretrained("daki97/visualbert_finetuned_easy_vqa") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload VisualBertForQuestionAnswering 1d41bac
initial commit 01983aa
davide mura commited on