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")# 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
- Xet hash:
- c66a7aa37d6586121c2fe2a8b63009079663c20f2a22d9db6b33ec633056c8b8
- Size of remote file:
- 3.44 kB
- SHA256:
- 0ca321bd90254810b287546d1fec8b5ae8b004d9b03a74d2e4bfbefb5225b831
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