Instructions to use abuelnasr/keras_phi3_mini_4k_instruct_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use abuelnasr/keras_phi3_mini_4k_instruct_en with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://abuelnasr/keras_phi3_mini_4k_instruct_en") - Keras
How to use abuelnasr/keras_phi3_mini_4k_instruct_en 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://abuelnasr/keras_phi3_mini_4k_instruct_en") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from abuelnasr/keras_phi3_mini_4k_instruct_en: direct link, hf CLI and curl.
- Browser
- Download file 7.64 GB
-
https://huggingface.co/abuelnasr/keras_phi3_mini_4k_instruct_en/resolve/main/model.weights.h5
- Command line
-
hf download hf://abuelnasr/keras_phi3_mini_4k_instruct_en/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/abuelnasr/keras_phi3_mini_4k_instruct_en/resolve/main/model.weights.h5
7.64 GB
- Xet hash:
- cb7946ae3911c3e3b6b6406fc299475e951d43481e8e6918f512f203ac739cd0
- Size of remote file:
- 7.64 GB
- SHA256:
- 276f47353d6e6199cd2f5f378b38c9fb238a60d9ddf8b3d8ed995beae68e67e2
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