Text Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use yujiepan/bert-base-uncased-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yujiepan/bert-base-uncased-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yujiepan/bert-base-uncased-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yujiepan/bert-base-uncased-imdb") model = AutoModelForSequenceClassification.from_pretrained("yujiepan/bert-base-uncased-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f793b3956f8837f5da16fdf287027c5ae7297082fcd3d7302c177f351af4a559
- Size of remote file:
- 438 MB
- SHA256:
- ad19993f9b2c0193715910d6717c55af0e6af95160b34e997f63240e71a0bac5
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