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
metadata
datasets:
- mteb/imdb
language:
- en
metrics:
- accuracy
- f1
base_model:
- distilbert/distilbert-base-uncased
pipeline_tag: text-classification
library_name: transformers