Image-to-Text
Transformers
Safetensors
PyTorch
Vietnamese
blip
image-text-to-text
image-captioning
vietnamese
vision-language
uit-openviic
Instructions to use nviquang/Vie-BLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nviquang/Vie-BLIP with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="nviquang/Vie-BLIP")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("nviquang/Vie-BLIP") model = AutoModelForMultimodalLM.from_pretrained("nviquang/Vie-BLIP") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!