Instructions to use ModelTC/bart-base-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/bart-base-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModelTC/bart-base-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ModelTC/bart-base-cola") model = AutoModelForSequenceClassification.from_pretrained("ModelTC/bart-base-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
1290f12 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a21a436b6e8570df92e245a5b6f68672b3b1e04d27eed2a48a376a683ef2c570
size 2991
|