Instructions to use puzzz21/sci-sentiment-classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use puzzz21/sci-sentiment-classify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="puzzz21/sci-sentiment-classify")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("puzzz21/sci-sentiment-classify") model = AutoModelForSequenceClassification.from_pretrained("puzzz21/sci-sentiment-classify") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8d6ec8bfce0494915c7c4f618c00035b4de9a7ff9f754456f5c119c85e7b974
- Size of remote file:
- 440 MB
- SHA256:
- e252f02d99b1980cc5b87fb3e2fe1dbdc410726ba9d80c9c295cf200a6b96659
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