Instructions to use huiqian/tiny-sentiment-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huiqian/tiny-sentiment-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="huiqian/tiny-sentiment-classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("huiqian/tiny-sentiment-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68d5176185fee39da58850fa9c9c0466db64c595a9cbdc556c35951d25b8e288
- Size of remote file:
- 12.7 MB
- SHA256:
- e589575147bc891e12f4b487ca700d5cdeb258c1d8ace8c54c52d876800fd937
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