Instructions to use zeromodels/tipsv2-b14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/tipsv2-b14 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/tipsv2-b14") - Keras
How to use zeromodels/tipsv2-b14 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/tipsv2-b14") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from zeromodels/tipsv2-b14: direct link, hf CLI and curl.
- Browser
- Download file 3.36 MB
-
https://huggingface.co/zeromodels/tipsv2-b14/resolve/main/tokenizer.json
- Command line
-
hf download hf://zeromodels/tipsv2-b14/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zeromodels/tipsv2-b14/resolve/main/tokenizer.json
3.36 MB
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