Instructions to use rajivmandal/distilbert-base-uncased-MRPC-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rajivmandal/distilbert-base-uncased-MRPC-quantized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rajivmandal/distilbert-base-uncased-MRPC-quantized")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rajivmandal/distilbert-base-uncased-MRPC-quantized") model = AutoModelForSequenceClassification.from_pretrained("rajivmandal/distilbert-base-uncased-MRPC-quantized") - Notebooks
- Google Colab
- Kaggle