Zero-Shot Object Detection
ZeroModels
Keras
PyTorch
JAX
TensorFlow
owlv2
open-vocabulary
object-detection
Instructions to use zeromodels/owlv2-base-patch16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/owlv2-base-patch16 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/owlv2-base-patch16") - Keras
How to use zeromodels/owlv2-base-patch16 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/owlv2-base-patch16") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from zeromodels/owlv2-base-patch16: direct link, hf CLI and curl.
- Browser
- Download file 2.22 MB
-
https://huggingface.co/zeromodels/owlv2-base-patch16/resolve/main/tokenizer.json
- Command line
-
hf download hf://zeromodels/owlv2-base-patch16/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zeromodels/owlv2-base-patch16/resolve/main/tokenizer.json
2.22 MB
File too large to display, you can check the raw version instead.