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 scaler.pt from dragostom24/StarCoder2_FT: direct link, hf CLI and curl.
- Browser
- Download file 988 Bytes
-
https://huggingface.co/dragostom24/StarCoder2_FT/resolve/main/scaler.pt
- Command line
-
hf download hf://dragostom24/StarCoder2_FT/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/dragostom24/StarCoder2_FT/resolve/main/scaler.pt
988 Bytes
- Xet hash:
- 477ef00db82035cc97f9847fd640a769a5ae2bffb73b0ebfe562eef74e422fb3
- Size of remote file:
- 988 Bytes
- SHA256:
- 0bc3e09e856524c6369ecfaf3aea280d85bd6aa8603d584c7cac0b072c412a2e
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