Instructions to use ModelTC/bart-base-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/bart-base-rte with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModelTC/bart-base-rte")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ModelTC/bart-base-rte") model = AutoModelForSequenceClassification.from_pretrained("ModelTC/bart-base-rte", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
aa308b1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:94c958de8a3cda80cf087908ad00e45144b1e2ded05952ab4f8146f2571e3e2e
size 2991
|