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:
- 60258e92237c0aa056589f4b898be057d3c77bde811e49bc720dabc0f69db608
- Size of remote file:
- 2.46 GB
- SHA256:
- d5cfdd121611941eb8e4e67bb694396ae2172c431921e77deab4589103659f3c
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