Instructions to use textattack/facebook-bart-large-RTE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/facebook-bart-large-RTE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/facebook-bart-large-RTE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/facebook-bart-large-RTE") model = AutoModelForSequenceClassification.from_pretrained("textattack/facebook-bart-large-RTE") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
2f066f5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:14a913b2b63cf8227ebef289ca82ed73b0a93fb8fbee10eb9ddf09b842e509af
size 1053
|