Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Tural/out-glue-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tural/out-glue-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tural/out-glue-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tural/out-glue-mrpc") model = AutoModelForSequenceClassification.from_pretrained("Tural/out-glue-mrpc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6c751ee99cf08c1154f4e8c2e842ed458939be7935f034a52730405dd930b14
- Size of remote file:
- 438 MB
- SHA256:
- 3e961f4edfff8a6695cd9075c455dec3856951f59e78109422d9f36267e6f499
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