Text Classification
Transformers
PyTorch
English
xlm-roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Intel/xlm-roberta-base-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/xlm-roberta-base-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Intel/xlm-roberta-base-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intel/xlm-roberta-base-mrpc") model = AutoModelForSequenceClassification.from_pretrained("Intel/xlm-roberta-base-mrpc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4a4d392ae5035cfb6f31877ab7c7455c69a95308f421184de6e85c2536ca723
- Size of remote file:
- 1.11 GB
- SHA256:
- f9d29c4865bc2b26ef3d369254e589d1a0729757ea093a0123b4e1790208cb1f
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