Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use mattchurgin/distilbert-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mattchurgin/distilbert-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mattchurgin/distilbert-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mattchurgin/distilbert-mrpc") model = AutoModelForSequenceClassification.from_pretrained("mattchurgin/distilbert-mrpc") - Notebooks
- Google Colab
- Kaggle
Align label mapping with mrpc config of glue dataset
#1
by lewtun HF Staff - opened
Hi there, your model is using a default label mapping. Accept this PR to align the label mapping with the mrpc config of the glue dataset this model was trained on. This will enable your model to be evaluated by Hugging Face's automatic model evaluator