Instructions to use cafbr/minigpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use cafbr/minigpt 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://cafbr/minigpt") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from cafbr/minigpt: direct link, hf CLI and curl.
- Browser
- Download file 398 kB
-
https://huggingface.co/cafbr/minigpt/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://cafbr/minigpt@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/cafbr/minigpt/resolve/refs%2Fpr%2F1/saved_model.pb
398 kB
- Xet hash:
- 81b8fb282f0502b0bf47be144701c7e0b078e4835f8baff853d08438fcc67ab8
- Size of remote file:
- 398 kB
- SHA256:
- 909d866f49a3c01f35ed5179dc426fa8886b83ec1b428ae24bfc95f0b195738e
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