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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5e3e6547923d41ca5533d952bc6ac24b5cf4e142c5141bb41bbe9c393e42104
- Size of remote file:
- 5.78 kB
- SHA256:
- a62f30b83065c4644313026188176fede6ca5a5bf571029feaec2b9f60529043
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