Instructions to use devthuan/llm-classify-comment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use devthuan/llm-classify-comment with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("devthuan/llm-classify-comment") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6e68ffbbd9e28a4422b16a470e39940c871ac1ba8db0de03954e04f1501b60b4
- Size of remote file:
- 148 MB
- SHA256:
- cfd4dcacd0e5e05bfcdacd214c9745d008e4a523669b8e9b5d080dfef3662774
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