Instructions to use jianna4/sent.analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jianna4/sent.analysis with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Phr00t/Qwen-Image-Edit-Rapid-AIO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jianna4/sent.analysis") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- images/h1.PNG +3 -0
- sentimentalalysismodel.zip +3 -0
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sentimentalalysismodel.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:6bd8d0b057bc6649516dc5825c6036e616aed6322fde4cea1a18f1d33da0d482
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size 28098066
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