Instructions to use phucd/blip-gqa-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phucd/blip-gqa-ft with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-question-answering" 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("visual-question-answering", model="phucd/blip-gqa-ft")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("phucd/blip-gqa-ft") model = AutoModelForMultimodalLM.from_pretrained("phucd/blip-gqa-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 136 Bytes
a484c55 | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"bos_token_id": 2,
"eos_token_id": 50118,
"pad_token_id": 1,
"transformers_version": "4.51.3"
}
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