Instructions to use arvisioncode/florence-2-base-Signature with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arvisioncode/florence-2-base-Signature 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-2-base-Signature") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffd3f4a7166113cadc03697dc33664dfa612959be9f4d35f05d83dbb1a323e23
- Size of remote file:
- 7.75 MB
- SHA256:
- cfef0a15dd4c183a23e29c0487b3ca6d1476a27b3a14e97eec90d401873cabd7
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