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 metadata.json from abuelnasr/keras_phi3_mini_4k_instruct_en: direct link, hf CLI and curl.
- Browser
- Download file 143 Bytes
-
https://huggingface.co/abuelnasr/keras_phi3_mini_4k_instruct_en/resolve/main/metadata.json
- Command line
-
hf download hf://abuelnasr/keras_phi3_mini_4k_instruct_en/metadata.json
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curl -L -o metadata.json https://huggingface.co/abuelnasr/keras_phi3_mini_4k_instruct_en/resolve/main/metadata.json
143 Bytes
| { | |
| "keras_version": "3.3.3", | |
| "keras_nlp_version": "0.10.0", | |
| "parameter_count": 3821079552, | |
| "date_saved": "2024-05-06@23:30:58" | |
| } |