Instructions to use arvisioncode/florence_16_4k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arvisioncode/florence_16_4k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Florence-2-base-ft") model = PeftModel.from_pretrained(base_model, "arvisioncode/florence_16_4k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da234c5021be9a3f2c545f2c4db61f63c36bc1d4b190c20f5292a05d4f8e3ce2
- Size of remote file:
- 7.75 MB
- SHA256:
- a9637799c70ce723b03bee2adadc46672cee267c44e16014ca0bc7b3480ca776
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