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
Download images/starcoder2_metrics_plot.png from dragostom24/StarCoder2_FT: direct link, hf CLI and curl.
- Browser
- Download file 19.9 kB
-
https://huggingface.co/dragostom24/StarCoder2_FT/resolve/main/images/starcoder2_metrics_plot.png
- Command line
-
hf download hf://dragostom24/StarCoder2_FT/images/starcoder2_metrics_plot.png
-
curl -L -o starcoder2_metrics_plot.png https://huggingface.co/dragostom24/StarCoder2_FT/resolve/main/images/starcoder2_metrics_plot.png
19.9 kB

- Xet hash:
- 57b2c610ccd88e41b8af7cbd9cf96a090d639f5a0a651e3d02a3726666342dd8
- Size of remote file:
- 19.9 kB
- SHA256:
- 409fcfde2ce3889e01128c9eff0868ec3387d011f585fd69780f35b2f4578882
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