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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d80f9f33535f14d4d67b8d876ae778b6a6652c5b3be7256f8198843f9925e0c
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size 379617992
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