Image-Text-to-Text
ZeroModels
Keras
PyTorch
JAX
TensorFlow
locateanything
object-detection
grounding
vision
Instructions to use zeromodels/locateanything_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/locateanything_3b with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/locateanything_3b") - Keras
How to use zeromodels/locateanything_3b with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://zeromodels/locateanything_3b") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from zeromodels/locateanything_3b: direct link, hf CLI and curl.
- Browser
- Download file 11.6 MB
-
https://huggingface.co/zeromodels/locateanything_3b/resolve/main/tokenizer.json
- Command line
-
hf download hf://zeromodels/locateanything_3b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zeromodels/locateanything_3b/resolve/main/tokenizer.json
11.6 MB
- 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.