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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("versae/gzipbert_imdb_rpe") model = AutoModelForSequenceClassification.from_pretrained("versae/gzipbert_imdb_rpe", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Jul19_09-36-43_536ef649d530/events.out.tfevents.1689759414.536ef649d530.525.0
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