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 optimizer.pt from dragostom24/CodeT5_FT: direct link, hf CLI and curl.
- Browser
- Download file 56.9 MB
-
https://huggingface.co/dragostom24/CodeT5_FT/resolve/main/optimizer.pt
- Command line
-
hf download hf://dragostom24/CodeT5_FT/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dragostom24/CodeT5_FT/resolve/main/optimizer.pt
56.9 MB
- Xet hash:
- fbf6f0b078919ff4b39d99b2a05bf34b49958a1a1818847ec637bb5eb0375702
- Size of remote file:
- 56.9 MB
- SHA256:
- b623ac471b6ac7ddd646fed8d9536aeb214c174bfeed75e004b8d4f0896a5285
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