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:
- 2aea67f7160e7021ec378cf55323ea18eef7329d6c20ccd522c20dbfc281332a
- Size of remote file:
- 5.18 kB
- SHA256:
- ec5be36593e7cbfc778ab986d123d40811f9d98e70775c36402639db01d4ae14
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