Instructions to use kerasformers/locateanything_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/locateanything_3b with KerasFormers:
# 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 kerasformers/locateanything_3b with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kerasformers/locateanything_3b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd8dab660a192d0b3dd91fca5b1c58d16c55c456bee5e0105507adc46b3202c9
- Size of remote file:
- 11.6 MB
- SHA256:
- 76fbf312c2a3772b8cbde8b6a6c45607962278c72a2f152a41740e96c906fa52
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.