Feature Extraction
Transformers
Safetensors
clip_vision_model
vision
clip
fine-tuned
PatchCamelyon
medical-imaging
Instructions to use lens-ai/clip-vit-base-patch32_pcam_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lens-ai/clip-vit-base-patch32_pcam_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lens-ai/clip-vit-base-patch32_pcam_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lens-ai/clip-vit-base-patch32_pcam_finetuned") model = AutoModel.from_pretrained("lens-ai/clip-vit-base-patch32_pcam_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K