Visual Question Answering
Transformers
Safetensors
baby_medgemma
feature-extraction
medical
chest-x-ray
vision-language-model
interpretability
mechanistic-interpretability
research
custom_code
Instructions to use saillab/FlipLens with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saillab/FlipLens with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="saillab/FlipLens", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("saillab/FlipLens", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5e77ebc932e333b1800e3365fc4ef0fcaa4551687daf6dcff4a2cab9aa8c956
- Size of remote file:
- 56.3 MB
- SHA256:
- d7b6208c508d3cf57cd375abc745a8bfee7b03d8ecaf9dd2b6e60f326c3b4d9e
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