Instructions to use creative-graphic-design/BASNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use creative-graphic-design/BASNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="creative-graphic-design/BASNet", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("creative-graphic-design/BASNet", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35acb45e242ab10fd358772e0f771e3c164fa274e639d3ceb6b798aa76a75337
- Size of remote file:
- 348 MB
- SHA256:
- 83db9a738691a9eca622ec38fac24b31e5b47121bec65570a3cf83f0f00ede32
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