Image-to-Text
Transformers
Safetensors
English
medical
pathology
vision-language
contrastive-learning
fine-grained
multimodal
Instructions to use jshhhh/PathFLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jshhhh/PathFLIP with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="jshhhh/PathFLIP")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jshhhh/PathFLIP", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K