Instructions to use PuppetLover/image_captioning_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PuppetLover/image_captioning_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PuppetLover/image_captioning_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ac261ca5ea8da954c275a0226aab26247404ff00cf4ef38d845c73df10fb455
- Size of remote file:
- 9.21 GB
- SHA256:
- 8d6d125a3bf7281a7f5eb56b7167ee78bfbd5508f69e1ac948da9c70f6774335
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.