Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
roformer
Generated from Trainer
Eval Results (legacy)
Instructions to use versae/gzipbert_imdb_rpe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/gzipbert_imdb_rpe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="versae/gzipbert_imdb_rpe")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("versae/gzipbert_imdb_rpe") model = AutoModelForSequenceClassification.from_pretrained("versae/gzipbert_imdb_rpe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28859abefa16601ba3560fcfeefc47ceaa12499afdd65711a9050a47457b1837
- Size of remote file:
- 3.96 kB
- SHA256:
- e25aaff42b9b1359a08ce5b453aa7fbf48bb3623a5fa211b028e258b9724bec8
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