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
dsft

- Prompt
- -
Model description
This model was trained using LoRA on a dataset consisting of GPT-4 Turbo generated summaries and code functions taken from CodeSearchNet. Only pythong functions.
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