Instructions to use dragostom24/StarCoder2_FT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dragostom24/StarCoder2_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("bigcode/starcoder2-3b", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dragostom24/StarCoder2_FT") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from dragostom24/StarCoder2_FT: direct link, hf CLI and curl.
- Browser
- Download file 349 Bytes
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https://huggingface.co/dragostom24/StarCoder2_FT/resolve/main/README.md
- Command line
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hf download hf://dragostom24/StarCoder2_FT/README.md
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curl -L -o README.md https://huggingface.co/dragostom24/StarCoder2_FT/resolve/main/README.md
349 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/starcoder2_metrics_plot.png | |
| text: '-' | |
| base_model: bigcode/starcoder2-3b | |
| instance_prompt: null | |
| license: unknown | |
| # SC2FT | |
| <Gallery /> | |
| ## Download model | |
| [Download](/dragostom24/StarCoder2_FT/tree/main) them in the Files & versions tab. | |