Instructions to use NicholasSynovic/VEAA-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use NicholasSynovic/VEAA-Models 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://NicholasSynovic/VEAA-Models") - Notebooks
- Google Colab
- Kaggle
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Download README.md from NicholasSynovic/VEAA-Models: direct link, hf CLI and curl.
- Browser
- Download file 276 Bytes
-
https://huggingface.co/NicholasSynovic/VEAA-Models/resolve/main/README.md
- Command line
-
hf download hf://NicholasSynovic/VEAA-Models/README.md
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curl -L -o README.md https://huggingface.co/NicholasSynovic/VEAA-Models/resolve/main/README.md
276 Bytes
metadata
license: agpl-3.0
datasets:
- NicholasSynovic/Modified-VEAA
language:
- en
library_name: keras
VEAA Models
Victorian Era Authorship Attribution Models
About
See this GitHub repo for more information.