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 pytorch_model.bin from yuewu/toc_titler: direct link, hf CLI and curl.
- Browser
- Download file 983 MB
-
https://huggingface.co/yuewu/toc_titler/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://yuewu/toc_titler/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/yuewu/toc_titler/resolve/main/pytorch_model.bin
983 MB
- Xet hash:
- f36bb29bb90af17a112fef218f3b7e6b167bbd3a606a9f6483042ebc9cb476c0
- Size of remote file:
- 983 MB
- SHA256:
- 44564630e370433e4e57c7f9a96bbfca2f8462b18719bfdfb958b878626c8382
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