Instructions to use awaisrwp/poem_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use awaisrwp/poem_classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("awaisrwp/poem_classifier", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
| # FROM centos:latest | |
| # Use the official Python base image with version 3.9 | |
| FROM python:3.9 | |
| WORKDIR /poem_classifier | |
| # Copy the requirements file to the container | |
| COPY requirements.txt . | |
| # Install the dependencies | |
| RUN pip install -r requirements.txt | |
| # Copy the application code to the container | |
| COPY . . | |
| # ENTRYPOINT ["./predict.py"] | |
| # Set the command to run the application | |
| CMD ["python", "predict.py"] |