Instructions to use grace-pro/deberta_base_fine_tune_mnli_half_v2_labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grace-pro/deberta_base_fine_tune_mnli_half_v2_labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="grace-pro/deberta_base_fine_tune_mnli_half_v2_labels")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("grace-pro/deberta_base_fine_tune_mnli_half_v2_labels") model = AutoModelForSequenceClassification.from_pretrained("grace-pro/deberta_base_fine_tune_mnli_half_v2_labels", device_map="auto") - Notebooks
- Google Colab
- Kaggle