Image-Text-to-Text
ZeroModels
Keras
PyTorch
JAX
TensorFlow
English
internvl
internvl3
multimodal
vision
Instructions to use zeromodels/internvl3-78b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/internvl3-78b 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/internvl3-78b") - Keras
How to use zeromodels/internvl3-78b 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/internvl3-78b") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 1.57 kB
- 2.82 kB
- 163 kB
- 5.35 GB xet
- 4.6 GB xet
- 5.26 GB xet
- 5.27 GB xet
- 4.97 GB xet
- 5.29 GB xet
- 5.26 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.29 GB xet
- 5.08 GB xet
- 5.27 GB xet
- 4.97 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 5.29 GB xet
- 5.08 GB xet
- 4.97 GB xet
- 5.27 GB xet
- 5.27 GB xet
- 3.52 GB xet
- 2.49 GB xet
- 11.4 MB xet
- 1.11 kB
- 419 Bytes