Instructions to use Salommee/Sentiment_Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salommee/Sentiment_Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Salommee/Sentiment_Analysis")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Salommee/Sentiment_Analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| datasets: | |
| - mteb/imdb | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| - f1 | |
| base_model: | |
| - distilbert/distilbert-base-uncased | |
| pipeline_tag: text-classification | |
| library_name: transformers | |