Instructions to use NYUAD-ComNets/NYUAD_Llama4_Inheritance_Solver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NYUAD-ComNets/NYUAD_Llama4_Inheritance_Solver with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NYUAD-ComNets/NYUAD_Llama4_Inheritance_Solver", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from NYUAD-ComNets/NYUAD_Llama4_Inheritance_Solver: direct link, hf CLI and curl.
- Browser
- Download file 27.9 MB
-
https://huggingface.co/NYUAD-ComNets/NYUAD_Llama4_Inheritance_Solver/resolve/main/tokenizer.json
- Command line
-
hf download hf://NYUAD-ComNets/NYUAD_Llama4_Inheritance_Solver/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/NYUAD-ComNets/NYUAD_Llama4_Inheritance_Solver/resolve/main/tokenizer.json
27.9 MB
- Xet hash:
- 479cd84469fe7df7508f0be6dfdbe49ed4caa15093b6212dc02c0cfe342a2dcc
- Size of remote file:
- 27.9 MB
- SHA256:
- 172c9eb4beafc72601690da3ccfcede5c2e6806a8d5ec1fca33e22acea8023a4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.