Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
custom_code
Eval Results (legacy)
Instructions to use versae/gzipbert_imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/gzipbert_imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="versae/gzipbert_imdb", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("versae/gzipbert_imdb", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("versae/gzipbert_imdb", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Commit ·
1cbd223
1
Parent(s): 37c4107
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (9f6a803704fdb99682f5b065342fe37a334eae5e)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2ac6a8e858a66cbd6be8b965ba462f30fbb8f5da3df799f1892757f46bfacbf6
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size 498617024
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