Instructions to use nllg/tikzero-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nllg/tikzero-adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nllg/tikzero-adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -30,7 +30,7 @@ pipeline = DetikzifyPipeline(
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torch_dtype="bfloat16",
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adapter_name_or_path="nllg/tikzero-adapter",
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adapter_kwargs=dict(revision="mse") # load variant trained with MSE
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)
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torch_dtype="bfloat16",
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adapter_name_or_path="nllg/tikzero-adapter",
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#adapter_kwargs=dict(revision="mse") # load variant trained with MSE
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)
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)
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