Instructions to use BUAADreamer/Chinese-LLaVA-Med-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BUAADreamer/Chinese-LLaVA-Med-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="BUAADreamer/Chinese-LLaVA-Med-7B")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("BUAADreamer/Chinese-LLaVA-Med-7B") model = AutoModelForMultimodalLM.from_pretrained("BUAADreamer/Chinese-LLaVA-Med-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3932fa6c3e164fc9f385ff97da2aa5a9a47424bf24babe87ccbebc0b0d1f335
- Size of remote file:
- 1.95 GB
- SHA256:
- b76a06a787447f178e414c8fd06223004a39ecafd9231f165aea6aa330128d36
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