Visual Question Answering
Transformers
PyTorch
Chinese
English
blip-2
text-generation
ziya
fengshenbang
LVLM
visual question answering
Instructions to use IDEA-CCNL/Ziya-Visual-14B-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Ziya-Visual-14B-Chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="IDEA-CCNL/Ziya-Visual-14B-Chat")# Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("IDEA-CCNL/Ziya-Visual-14B-Chat") model = AutoModelForSeq2SeqLM.from_pretrained("IDEA-CCNL/Ziya-Visual-14B-Chat") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot