Instructions to use ZealPyae/linksDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZealPyae/linksDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZealPyae/linksDetection")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ZealPyae/linksDetection", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 622 Bytes
84425d8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | # Use an official Python runtime as a parent image
FROM python:3.8-slim
# Set the working directory in the container
WORKDIR /app
# Copy the current directory contents into the container at /app
COPY . /app
# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements.txt
# Make port 8000 available to the world outside this container
EXPOSE 8000
# Define environment variable
ENV NAME World
# Run app.py when the container launches
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]
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