Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JeremiahZ/roberta-base-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremiahZ/roberta-base-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeremiahZ/roberta-base-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/roberta-base-mrpc") model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/roberta-base-mrpc") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 7dde89e
Librarian Bot: Add base_model information to model (#4)
Browse files- Librarian Bot: Add base_model information to model (d86c89628023ffb379ae48a7ce4e3847b78fcaf8)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>