Instructions to use abhijitdas2821/Maskfilling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhijitdas2821/Maskfilling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="abhijitdas2821/Maskfilling")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abhijitdas2821/Maskfilling", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 459 Bytes
3d51456 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | # Use lightweight Python image
FROM python:3.10-slim
# Set working directory
WORKDIR /app
# Copy requirements first
COPY requirements.txt .
# Install dependencies
RUN pip install --no-cache-dir -r requirements.txt
# Copy all project files
COPY . .
# Expose Streamlit port
EXPOSE 8501
# Streamlit settings
ENV STREAMLIT_SERVER_HEADLESS=true
ENV STREAMLIT_SERVER_PORT=8501
ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0
# Run app
CMD ["streamlit", "run", "app.py"] |