Instructions to use textattack/facebook-bart-large-MNLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/facebook-bart-large-MNLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/facebook-bart-large-MNLI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/facebook-bart-large-MNLI") model = AutoModelForSequenceClassification.from_pretrained("textattack/facebook-bart-large-MNLI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
5b9f83a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2c51e7702f4ebeef99c85d723acf27a4016e4eb95362e80de290c02ee08d99c8
size 1629492612
|