Instructions to use Group209/Sentiment_Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Group209/Sentiment_Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Group209/Sentiment_Analysis")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Group209/Sentiment_Analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 115 Bytes
70adb73 | 1 2 3 4 5 6 7 | transformers==4.9.2 torch==1.9.0 numpy==1.21.0 pandas==1.3.0 seaborn==0.11.1 matplotlib==3.4.2 scikit-learn==0.24.2 |