Instructions to use zeromodels/maxvit_base_tf_224_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/maxvit_base_tf_224_in1k with ZeroModels:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use zeromodels/maxvit_base_tf_224_in1k with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/maxvit_base_tf_224_in1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85af14630d7dc811f0c1dda751b51a63241b8f074c94c9e19f6d4d7f9a8302a5
- Size of remote file:
- 481 MB
- SHA256:
- 5980dec931beecf1601125e1ca64d0eb9a71fb324c0ac204620a8153e7257a17
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.