Instructions to use Deysi/sentiment_analysis_imbd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deysi/sentiment_analysis_imbd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Deysi/sentiment_analysis_imbd")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Deysi/sentiment_analysis_imbd") model = AutoModelForSequenceClassification.from_pretrained("Deysi/sentiment_analysis_imbd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b1fcb126186e49de147b2f7b3cbbf415312eea9437f11c04e50bfd53c431c8a
- Size of remote file:
- 46.8 MB
- SHA256:
- d5b11f423e005a2f57dfcd3562575a1e7adcf5b3389aed75e431d1bba67112a7
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