Text Classification
Transformers
Safetensors
bert
sentiment-analysis
imdb
Generated from Trainer
Eval Results (legacy)
Instructions to use knightscode139/bert-base-cased-imdb-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knightscode139/bert-base-cased-imdb-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="knightscode139/bert-base-cased-imdb-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("knightscode139/bert-base-cased-imdb-sentiment") model = AutoModelForSequenceClassification.from_pretrained("knightscode139/bert-base-cased-imdb-sentiment") - Notebooks
- Google Colab
- Kaggle
Ctrl+K