Instructions to use datnguyentien204/BLIP_VietNameseFineTuningModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datnguyentien204/BLIP_VietNameseFineTuningModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="datnguyentien204/BLIP_VietNameseFineTuningModel")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("datnguyentien204/BLIP_VietNameseFineTuningModel") model = AutoModelForVisualQuestionAnswering.from_pretrained("datnguyentien204/BLIP_VietNameseFineTuningModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- tokenizer.json +0 -0
- vocab.txt +0 -0
tokenizer.json
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vocab.txt
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