Instructions to use yuewu/toc_titler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuewu/toc_titler 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="yuewu/toc_titler")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("yuewu/toc_titler") model = AutoModelForMultimodalLM.from_pretrained("yuewu/toc_titler", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from yuewu/toc_titler: direct link, hf CLI and curl.
- Browser
- Download file 1.76 MB
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https://huggingface.co/yuewu/toc_titler/resolve/main/config.json
- Command line
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hf download hf://yuewu/toc_titler/config.json
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curl -L -o config.json https://huggingface.co/yuewu/toc_titler/resolve/main/config.json
1.76 MB
File too large to display, you can check the raw version instead.