Instructions to use kppkkp/OneChart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kppkkp/OneChart with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kppkkp/OneChart", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kppkkp/OneChart", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9f4c646868ed85623dbdb0efad1fbb14fcfe815643cc6655252e306dd061419
- Size of remote file:
- 525 MB
- SHA256:
- c55155e4bd85d7551f53b720f9128c5713f1a8da24a928237c1ac074bf4d7eaa
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