Instructions to use dandelin/vilt-b32-finetuned-vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dandelin/vilt-b32-finetuned-vqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="dandelin/vilt-b32-finetuned-vqa")# Load model directly from transformers import AutoProcessor, ViltForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("dandelin/vilt-b32-finetuned-vqa") model = ViltForVisualQuestionAnswering.from_pretrained("dandelin/vilt-b32-finetuned-vqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload app.py
1
#14 opened over 1 year ago
by
Neryvert
Upload app.py
1
#13 opened over 1 year ago
by
Neryvert
Prediction error
#12 opened over 2 years ago
by
xGzmx
كود ذكاء اصطناعي بالبايثون لتحليل محتوى المقالات (نسخة متقدمة)
#11 opened over 2 years ago
by
lodgy
Cannot answer questions about measurements
3
#10 opened almost 3 years ago
by
mwieland
Adding `safetensors` variant of this model
#9 opened about 3 years ago
by
SFconvertbot
Request: DOI
#8 opened about 3 years ago
by
Janyn
Custom dataset fine tuning
4
#5 opened over 3 years ago
by
ChinmayBH
Can you provide the training code for this?
5
#3 opened about 4 years ago
by
Aravindan