Instructions to use theIndividual/Florence-2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theIndividual/Florence-2-base 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="theIndividual/Florence-2-base", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("theIndividual/Florence-2-base", trust_remote_code=True) model = AutoModelForImageTextToText.from_pretrained("theIndividual/Florence-2-base", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d2b1ca91741ebca83f36971276a18eb71be0c22784cbd84573030b7ce8a718e
- Size of remote file:
- 464 MB
- SHA256:
- b480ac374593b0dcb18ffa63b23213734e04cd43eab0d620d23e39708d4a4a7e
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