Instructions to use blackWizard/phi_3_game with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use blackWizard/phi_3_game with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://blackWizard/phi_3_game") - Keras
How to use blackWizard/phi_3_game with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://blackWizard/phi_3_game") - Notebooks
- Google Colab
- Kaggle
File size: 1,252 Bytes
ae7a022 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | {
"module": "keras_nlp.src.models.phi3.phi3_causal_lm_preprocessor",
"class_name": "Phi3CausalLMPreprocessor",
"config": {
"name": "phi3_causal_lm_preprocessor",
"trainable": true,
"dtype": {
"module": "keras",
"class_name": "DTypePolicy",
"config": {
"name": "mixed_bfloat16"
},
"registered_name": null
},
"tokenizer": {
"module": "keras_nlp.src.models.phi3.phi3_tokenizer",
"class_name": "Phi3Tokenizer",
"config": {
"name": "phi3_tokenizer",
"trainable": true,
"dtype": {
"module": "keras",
"class_name": "DTypePolicy",
"config": {
"name": "int32"
},
"registered_name": null
},
"proto": null,
"sequence_length": null
},
"registered_name": "keras_nlp>Phi3Tokenizer"
},
"sequence_length": 1024,
"add_start_token": true,
"add_end_token": false
},
"registered_name": "keras_nlp>Phi3CausalLMPreprocessor"
} |