Instructions to use lodestone-horizon/Florence-2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lodestone-horizon/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="lodestone-horizon/Florence-2-base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("lodestone-horizon/Florence-2-base", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("lodestone-horizon/Florence-2-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from lodestone-horizon/Florence-2-base: direct link, hf CLI and curl.
- Browser
- Download file 34 Bytes
-
https://huggingface.co/lodestone-horizon/Florence-2-base/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://lodestone-horizon/Florence-2-base/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/lodestone-horizon/Florence-2-base/resolve/main/tokenizer_config.json
34 Bytes
| { | |
| "model_max_length": 1024 | |
| } | |