Instructions to use samanehs/finetuned_gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use samanehs/finetuned_gpt2 with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://samanehs/finetuned_gpt2") - Keras
How to use samanehs/finetuned_gpt2 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://samanehs/finetuned_gpt2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c56f88791e20192b6c99607f8cee66d77f91c8bf060e1f73073db71db7298fdb
- Size of remote file:
- 498 MB
- SHA256:
- eadac7e90e3551847652eb34b82212ccd1f0e986cdccb86805b674928e458657
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