Instructions to use callgg/solidity-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callgg/solidity-fp8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("callgg/solidity-fp8", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from callgg/solidity-fp8: direct link, hf CLI and curl.
- Browser
- Download file 115 Bytes
-
https://huggingface.co/callgg/solidity-fp8/resolve/7c3def0856015fd1052495d86dc0de1183610dbf/generation_config.json
- Command line
-
hf download hf://callgg/solidity-fp8@7c3def0856015fd1052495d86dc0de1183610dbf/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/callgg/solidity-fp8/resolve/7c3def0856015fd1052495d86dc0de1183610dbf/generation_config.json
115 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 50256, | |
| "transformers_version": "4.51.3" | |
| } | |