Instructions to use PuppetLover/scenegraph_image_captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PuppetLover/scenegraph_image_captioning with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PuppetLover/scenegraph_image_captioning") model = AutoModelForSeq2SeqLM.from_pretrained("PuppetLover/scenegraph_image_captioning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61b8fa83ec8b181c58bd372c1bcf14686f057d8a5f670ee1cbc41800ef2ea930
- Size of remote file:
- 6.14 GB
- SHA256:
- 4ec33a1f8a4b4cb3e81cf351ce78c8154ddae75e6445d71e096929b888fc1cf4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.