Instructions to use dragostom24/CodeT5_FT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dragostom24/CodeT5_FT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Salesforce/codet5-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dragostom24/CodeT5_FT") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download scheduler.pt from dragostom24/CodeT5_FT: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/dragostom24/CodeT5_FT/resolve/main/scheduler.pt
- Command line
-
hf download hf://dragostom24/CodeT5_FT/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/dragostom24/CodeT5_FT/resolve/main/scheduler.pt
1.06 kB
- Xet hash:
- 877acc0d51660f6591c54c61bee8f640451c4b1d61db7d2bf6c310c5d98152fd
- Size of remote file:
- 1.06 kB
- SHA256:
- c4d8c5b98117ed31fdc0cb82b7e0a40deb3bbbaa6eb130882a10e183f67a18d3
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