Instructions to use Sudheer17/Sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sudheer17/Sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sudheer17/Sentiment")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sudheer17/Sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f905eeb395b8f6b78fb584310a39d0b02fe8eca059c0a2842a6dffd44d99a9b
- Size of remote file:
- 401 kB
- SHA256:
- c74182bf15686c7a43227221af1cb8c829b0e59c844bd2f2f6ecc1b019b26326
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