Instructions to use nicolamustone/minires with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nicolamustone/minires with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://nicolamustone/minires") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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# MiniRes: Resin Usage Predictor for 3D Printed Miniatures
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MiniRes is a small Python library + pretrained ensemble model that predicts **resin usage in grams** for pre-supported 3D printed miniatures.
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---
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library_name: keras
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license: mit
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pipeline_tag: tabular-regression
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tags:
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- 3d-printing
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- resin
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- regression
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- tabular
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- ensemble
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- xgboost
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- keras
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- uvtools
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model-index:
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- name: MiniRes
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results: []
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---
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# MiniRes: Resin Usage Predictor for 3D Printed Miniatures
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MiniRes is a small Python library + pretrained ensemble model that predicts **resin usage in grams** for pre-supported 3D printed miniatures.
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