Instructions to use textattack/distilbert-base-cased-MRPC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/distilbert-base-cased-MRPC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/distilbert-base-cased-MRPC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/distilbert-base-cased-MRPC") model = AutoModelForSequenceClassification.from_pretrained("textattack/distilbert-base-cased-MRPC") - Notebooks
- Google Colab
- Kaggle
File size: 49 Bytes
c835808 | 1 | {"do_lower_case": false, "model_max_length": 512} |