Visual Question Answering
Transformers
Safetensors
Vietnamese
English
Chinese
qwen2_vl
image-text-to-text
erax
multimodal
erax-vl-2B
insurance
ocr
vietnamese
bcg
image-to-text
text-generation-inference
Instructions to use mxw1998/erax-ai-fork2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mxw1998/erax-ai-fork2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="mxw1998/erax-ai-fork2")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("mxw1998/erax-ai-fork2") model = AutoModelForImageTextToText.from_pretrained("mxw1998/erax-ai-fork2") - Notebooks
- Google Colab
- Kaggle
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