Instructions to use dragostom24/Deepseek_FT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dragostom24/Deepseek_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("deepseek-ai/deepseek-coder-1.3b-instruct", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dragostom24/Deepseek_FT") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- c631edc02ac9f98a9a7c87912b1efba359ac26fad1010efca092d3e4067136c5
- Size of remote file:
- 101 MB
- SHA256:
- 1b03062be5a8e428a68527143204b44527ff920b4cd9c1806817369deddd3419
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