Visual Question Answering
Transformers
Safetensors
qwen2
text-generation
multimodal
llava
text-generation-inference
Instructions to use AI-Safeguard/Ivy-VL-llava with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI-Safeguard/Ivy-VL-llava with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="AI-Safeguard/Ivy-VL-llava")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AI-Safeguard/Ivy-VL-llava") model = AutoModelForCausalLM.from_pretrained("AI-Safeguard/Ivy-VL-llava", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Improve language tag
#3
by lbourdois - opened
Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.
good
Ivy1997 changed pull request status to merged