Keras
Joblib
Safetensors
PyTorch
English
multimodal
document-classification
distilbert
efficientnet
late-fusion
rvl-cdip
tensorflow
scikit-learn
Instructions to use gonzalobosque/multimodal-document-intelligence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use gonzalobosque/multimodal-document-intelligence 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://gonzalobosque/multimodal-document-intelligence") - Notebooks
- Google Colab
- Kaggle
Download checksums.sha256 from gonzalobosque/multimodal-document-intelligence: direct link, hf CLI and curl.
- Browser
- Download file 823 Bytes
-
https://huggingface.co/gonzalobosque/multimodal-document-intelligence/resolve/main/checksums.sha256
- Command line
-
hf download hf://gonzalobosque/multimodal-document-intelligence/checksums.sha256
-
curl -L -o checksums.sha256 https://huggingface.co/gonzalobosque/multimodal-document-intelligence/resolve/main/checksums.sha256
823 Bytes
| 0f816dce4aa40df26bdd528ffdd5beee076c0515099de27447aae52f952ef7e2 text_model/model.safetensors | |
| 274ccddb3b1c4841de147df99c1d82c5f678767dd96015f52babeb461bdddba8 text_model/config.json | |
| a3c9410f27554c6e26af779fd147e536c6c5f9e5cb0e6b8f38ddaa25e1b0f6af text_model/tokenizer_config.json | |
| b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3 text_model/special_tokens_map.json | |
| 435667fab0c06c165b1283ecb422497c37124f2d6a35b2ac73dc876332fc9518 text_model/tokenizer.json | |
| 07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3 text_model/vocab.txt | |
| f46c30bedc0761f270af41a3e260352787ac5327d0e3abd971c24416e5e98eb5 image_model/model.keras | |
| fab7d8dc6cb13568c8b93d7fd4ddba1b77f86e7a5c625f83c7183579601991c0 fusion_logreg.joblib | |
| fc573a380d8a9cbb635a81edb60d20b3b0b42646d7293316b3bc1911cac005e6 class_order.json | |