Instructions to use welabbar/florence2_bj_cc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use welabbar/florence2_bj_cc 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="welabbar/florence2_bj_cc", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("welabbar/florence2_bj_cc", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("welabbar/florence2_bj_cc", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update preprocessor_config.json
Verified signature68656d7 -
Update preprocessor_config.json
Verified signature2282cdf -
Update preprocessor_config.json
Verified signaturece8d819 -
Update preprocessor_config.json
Verified signature20c7a28 -
Update preprocessor_config.json
Verified signature4df7592 -
Update preprocessor_config.json
Verified signatureaa00209
-
Upload folder using huggingface_hub
Verified signature3d7ae43