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: 135 Bytes
a5b5a9d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2b9a4b1ad92a2308e567a30639eefc6c151f1f3ddb0a3173754c5b1d17b77d58
size 1629433224
|