Text Classification
Transformers
PyTorch
English
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Intel/roberta-base-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/roberta-base-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Intel/roberta-base-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intel/roberta-base-mrpc") model = AutoModelForSequenceClassification.from_pretrained("Intel/roberta-base-mrpc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b69ae8b9a77ac047b37c4294cb755ad9ff8aa489bd148d910597b543e5c1bad8
- Size of remote file:
- 3.06 kB
- SHA256:
- 5d97d89295ed50c09704af46bdabf4d6482fd899dbc66951d064f4d225c8f688
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