Instructions to use thwri/CogFlorence-2.2-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thwri/CogFlorence-2.2-Large 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="thwri/CogFlorence-2.2-Large", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("thwri/CogFlorence-2.2-Large", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("thwri/CogFlorence-2.2-Large", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from thwri/CogFlorence-2.2-Large: direct link, hf CLI and curl.
- Browser
- Download file 2.3 MB
-
https://huggingface.co/thwri/CogFlorence-2.2-Large/resolve/main/tokenizer.json
- Command line
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hf download hf://thwri/CogFlorence-2.2-Large/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/thwri/CogFlorence-2.2-Large/resolve/main/tokenizer.json
2.3 MB
File too large to display, you can check the raw version instead.