Instructions to use adhyhh/CharRecogDicoding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use adhyhh/CharRecogDicoding 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://adhyhh/CharRecogDicoding") - Notebooks
- Google Colab
- Kaggle
Download Dockerfile from adhyhh/CharRecogDicoding: direct link, hf CLI and curl.
- Browser
- Download file 523 Bytes
-
https://huggingface.co/adhyhh/CharRecogDicoding/resolve/main/Dockerfile
- Command line
-
hf download hf://adhyhh/CharRecogDicoding/Dockerfile
-
curl -L -o Dockerfile https://huggingface.co/adhyhh/CharRecogDicoding/resolve/main/Dockerfile
523 Bytes
| FROM python:3.10-slim | |
| # Install system dependencies required by OpenCV | |
| RUN apt-get update && apt-get install -y \ | |
| libgl1-mesa-glx \ | |
| libglib2.0-0 \ | |
| && rm -rf /var/lib/apt/lists/* | |
| WORKDIR /code | |
| # Copy requirements and install | |
| COPY ./requirement.txt /code/requirements.txt | |
| RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt | |
| # Copy the rest of the application files | |
| COPY . . | |
| # Expose port 7860 (Hugging Face Spaces default port) | |
| CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"] |