Instructions to use textattack/bert-base-uncased-MRPC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/bert-base-uncased-MRPC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/bert-base-uncased-MRPC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/bert-base-uncased-MRPC") model = AutoModelForSequenceClassification.from_pretrained("textattack/bert-base-uncased-MRPC") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
d421614 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f6bad8dd3140b4311d21788a48af3d0fb8e89836dda48feac82417b013855744
size 437942328
|