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
| # 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"] |