Image-Text-to-Text
ZeroModels
Keras
PyTorch
JAX
TensorFlow
English
internvl
internvl3-5
multimodal
vision
Instructions to use zeromodels/internvl3.5-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/internvl3.5-2b 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/internvl3.5-2b") - Keras
How to use zeromodels/internvl3.5-2b 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/internvl3.5-2b") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from zeromodels/internvl3.5-2b: direct link, hf CLI and curl.
- Browser
- Download file 4.7 GB
-
https://huggingface.co/zeromodels/internvl3.5-2b/resolve/main/model.weights.h5
- Command line
-
hf download hf://zeromodels/internvl3.5-2b/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/zeromodels/internvl3.5-2b/resolve/main/model.weights.h5
4.7 GB
- Xet hash:
- 33c2657a5d5b98a698871aa31d1c5c039082125c7c60f03a32b54bf101a5b8dc
- Size of remote file:
- 4.7 GB
- SHA256:
- f7c87a9ab01326bfd65ad0f0d878ca39f9e94b44c043387f746cecab5f23976d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.