Image-Text-to-Text
ZeroModels
Keras
PyTorch
JAX
TensorFlow
English
internvl
internvl3
multimodal
vision
Instructions to use zeromodels/internvl3-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/internvl3-2b 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/internvl3-2b") - Keras
How to use zeromodels/internvl3-2b 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/internvl3-2b") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from zeromodels/internvl3-2b: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/zeromodels/internvl3-2b/resolve/main/tokenizer.json
- Command line
-
hf download hf://zeromodels/internvl3-2b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zeromodels/internvl3-2b/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 545d3afd6d85e18a0a6e50df8f6fac65b3fccbc86cae645f2a06c603b24aeeb3
- Size of remote file:
- 11.4 MB
- SHA256:
- 7cc80b7e20adf8bf6f6ca442bf1abfac8056bb3b7d3e0b11c9d497d3e79398c9
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