Instructions to use ModelTC/bart-base-qnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/bart-base-qnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModelTC/bart-base-qnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ModelTC/bart-base-qnli") model = AutoModelForSequenceClassification.from_pretrained("ModelTC/bart-base-qnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
9cd308b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8d32b5abb6d59ef0ac4a4726a20e361baa18ba3257f94194fbf6ddb625bd6ea5
size 560154805
|