Text-to-Image
Transformers
PyTorch
ONNX
ezfgraphic
feature-extraction
transformer
custom_code
EZFGraphic
Instructions to use OpenRussianAI/EZFGraphic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenRussianAI/EZFGraphic with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenRussianAI/EZFGraphic", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from OpenRussianAI/EZFGraphic: direct link, hf CLI and curl.
- Browser
- Download file 400 Bytes
-
https://huggingface.co/OpenRussianAI/EZFGraphic/resolve/main/config.json
- Command line
-
hf download hf://OpenRussianAI/EZFGraphic/config.json
-
curl -L -o config.json https://huggingface.co/OpenRussianAI/EZFGraphic/resolve/main/config.json
400 Bytes
| { | |
| "architectures": [ | |
| "EZFGraphic" | |
| ], | |
| "model_type": "ezfgraphic", | |
| "vocab_size": 172, | |
| "d_model": 256, | |
| "n_layer": 6, | |
| "n_head": 4, | |
| "ctx": 32, | |
| "dropout": 0.1, | |
| "image_size": 128, | |
| "patch_size": 8, | |
| "codebook_size": 0, | |
| "torch_dtype": "float32", | |
| "auto_map": { | |
| "AutoConfig": "configuration_ezfgraphic.EZFGraphicConfig", | |
| "AutoModel": "modeling_ezfgraphic.EZFGraphic" | |
| } | |
| } |