Instructions to use reichenbach/multimodal-entailment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use reichenbach/multimodal-entailment with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("reichenbach/multimodal-entailment") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from reichenbach/multimodal-entailment: direct link, hf CLI and curl.
- Browser
- Download file 8.27 MB
-
https://huggingface.co/reichenbach/multimodal-entailment/resolve/main/saved_model.pb
- Command line
-
hf download hf://reichenbach/multimodal-entailment/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/reichenbach/multimodal-entailment/resolve/main/saved_model.pb
8.27 MB
- Xet hash:
- 8820b9ffc477116aee4d7789feeb079ddfda7323818084ad6be88132105255e2
- Size of remote file:
- 8.27 MB
- SHA256:
- 9ceb47427d97c4235e20396d2cca2ea723e03cf6a3ffd54769c29825f8ed5f99
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