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 scaler.pt from dragostom24/CodeT5_FT: direct link, hf CLI and curl.
- Browser
- Download file 988 Bytes
-
https://huggingface.co/dragostom24/CodeT5_FT/resolve/main/scaler.pt
- Command line
-
hf download hf://dragostom24/CodeT5_FT/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/dragostom24/CodeT5_FT/resolve/main/scaler.pt
988 Bytes
- Xet hash:
- a376f3cec64d70d22667227003a82d72205bf30f46f91ffd24b1f41dbea6c323
- Size of remote file:
- 988 Bytes
- SHA256:
- 7f6c4f3042ddf35d63b7cab470a4b81db0235ffb93b594fbca09ad503e922150
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