Instructions to use MAS-AI-0000/GameNet-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MAS-AI-0000/GameNet-1 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://MAS-AI-0000/GameNet-1") - Notebooks
- Google Colab
- Kaggle
File size: 453 Bytes
dcfcfbb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # Use a minimal Python 3.12 base image
FROM python:3.12-slim
# Set working directory inside the container
WORKDIR /code
# Copy requirements
COPY requirements.txt .
# Install dependencies
RUN pip install --no-cache-dir -r requirements.txt
# Copy your full project code
COPY . .
# Run FastAPI using uvicorn
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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