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
File size: 129 Bytes
d2912bb | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f788fabe1b2817a198ea2adfbd464dece94b17baaee46604401ea958bb8cab2f
size 4091
|