Instructions to use linhtrann21/paligemma-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linhtrann21/paligemma-ft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("linhtrann21/paligemma-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from linhtrann21/paligemma-ft: direct link, hf CLI and curl.
- Browser
- Download file 34.6 MB
-
https://huggingface.co/linhtrann21/paligemma-ft/resolve/main/tokenizer.json
- Command line
-
hf download hf://linhtrann21/paligemma-ft/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/linhtrann21/paligemma-ft/resolve/main/tokenizer.json
34.6 MB
- Xet hash:
- 19854e5889ebe73d3ee81b979bce0c6af37c1dfc8c4be75b2dbb32164e18a981
- Size of remote file:
- 34.6 MB
- SHA256:
- b648d11e0879b11659e6b4051f691752c0cef597a865c6fde5b318b9f68c1d05
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.