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
- Draw Things
- DiffusionBee
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]- Downloads last month
- 12
Model tree for dragostom24/CodeT5_FT
Base model
Salesforce/codet5-base