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:
- 57da07aeed3819aac00e0a9cad1011855910cf1f1d125c44f68b9a0d534f40f7
- Size of remote file:
- 3.58 kB
- SHA256:
- 7134d7c79c0a9b67b5bb29618cfa976ef91d0b42fb3693e7771c2d9d020bda9e
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