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 training_args.bin from dragostom24/StarCoder2_FT: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/dragostom24/StarCoder2_FT/resolve/main/training_args.bin
- Command line
-
hf download hf://dragostom24/StarCoder2_FT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dragostom24/StarCoder2_FT/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- f6182f4b11c7ffa804b35f3039e50cb427a91d86e0d6905bef3608ff2373327e
- Size of remote file:
- 5.3 kB
- SHA256:
- 6132917d64b87322a94d50caa12e6fb52536be66c34008cf238d545050aebafc
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