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 optimizer.pt from dragostom24/StarCoder2_FT: direct link, hf CLI and curl.
- Browser
- Download file 146 MB
-
https://huggingface.co/dragostom24/StarCoder2_FT/resolve/main/optimizer.pt
- Command line
-
hf download hf://dragostom24/StarCoder2_FT/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dragostom24/StarCoder2_FT/resolve/main/optimizer.pt
146 MB
- Xet hash:
- 59d3ef2832581d0e00c007e55da372d150d68110fe0063c13eea1ad21d5a521e
- Size of remote file:
- 146 MB
- SHA256:
- 1690996c46c17b003649d2f8cec4f26b64868b06a41afc70cb1749c81dd1866d
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