Instructions to use vxbrandon/t5-base_qnli_dense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vxbrandon/t5-base_qnli_dense with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vxbrandon/t5-base_qnli_dense")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vxbrandon/t5-base_qnli_dense") model = AutoModelForSequenceClassification.from_pretrained("vxbrandon/t5-base_qnli_dense") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot