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 images/codet5_eval_plot.png from dragostom24/CodeT5_FT: direct link, hf CLI and curl.
- Browser
- Download file 22.1 kB
-
https://huggingface.co/dragostom24/CodeT5_FT/resolve/main/images/codet5_eval_plot.png
- Command line
-
hf download hf://dragostom24/CodeT5_FT/images/codet5_eval_plot.png
-
curl -L -o codet5_eval_plot.png https://huggingface.co/dragostom24/CodeT5_FT/resolve/main/images/codet5_eval_plot.png
22.1 kB

- Xet hash:
- 92016734a26d667f0c56c7678472f4ecce217150c757c6b50f815f42562c1baa
- Size of remote file:
- 22.1 kB
- SHA256:
- e41cf1d43acfa58e29d7b34a9cb6637954214cb78aa5432cd833065aa685b41e
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