Instructions to use neineit/resnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use neineit/resnet with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://neineit/resnet") - Notebooks
- Google Colab
- Kaggle
Upload test_id.pkl
Browse files- test_id.pkl +3 -0
test_id.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:51c294f79ba6d807aba6d6b6fe6ffbfb81c8719ec96cd2ca345583f75dad9a1a
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size 40
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