Instructions to use xiaoyaoes/malicious-keras-text-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use xiaoyaoes/malicious-keras-text-encoder with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://xiaoyaoes/malicious-keras-text-encoder") - Notebooks
- Google Colab
- Kaggle
metadata
language: en
tags:
- keras
- text-encoding
- nlp
license: mit
pipeline_tag: feature-extraction
Text Encoder (Keras)
A lightweight text encoder based on Keras for NLP feature extraction.
Usage
from keras.models import load_model
model = load_model("xiaoyaoes/malicious-keras-text-encoder", trust_remote_code=True)
Architecture
- Input: (batch, 10) float32
- Dense layers: 10 → 8 → 4