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:
- d243b6dffce0622a0064ad9e23fc0b562fc2e149e96d71e9e1ba5e8adb2b8307
- Size of remote file:
- 5.3 kB
- SHA256:
- 4102f2a6604f29fe5cf1e8ebfda59cb57fe055a683610b62c00568489721c213
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