Instructions to use Keetawan/BLIP2SeaLLMs-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Keetawan/BLIP2SeaLLMs-1.5B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="Keetawan/BLIP2SeaLLMs-1.5B")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Keetawan/BLIP2SeaLLMs-1.5B") model = AutoModelForMultimodalLM.from_pretrained("Keetawan/BLIP2SeaLLMs-1.5B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0998eaff645d19248cc89943c316b19439e392c9df8ce2555f0d7e95b6fba2e
- Size of remote file:
- 5 GB
- SHA256:
- 7d1103ac4ce01126b930568f794be1d73e3f84cf20297fd544eac21722a3507a
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