Text Classification
Transformers
Safetensors
English
ensemble
sentiment-analysis
imdb
Eval Results (legacy)
Instructions to use ByteMeHarder-404/bert-imdb-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ByteMeHarder-404/bert-imdb-ensemble with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ByteMeHarder-404/bert-imdb-ensemble")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ByteMeHarder-404/bert-imdb-ensemble", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bba274504140421fdbd14ab413ec609d987664af7633e7ebe49943181ee9422
- Size of remote file:
- 5.78 kB
- SHA256:
- e61a625ee084edfd4d73638f6ed0605da469a1fe425a2f4076ea037f1b8ce118
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