Text Classification
Transformers
Safetensors
English
German
deberta-v2
stance-detection
political-science
multilingual
nli
deberta
group-appeals
text-embeddings-inference
Instructions to use rwillh11/mdeberta_NLI_stance_NoContext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rwillh11/mdeberta_NLI_stance_NoContext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rwillh11/mdeberta_NLI_stance_NoContext")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rwillh11/mdeberta_NLI_stance_NoContext") model = AutoModelForSequenceClassification.from_pretrained("rwillh11/mdeberta_NLI_stance_NoContext") - Notebooks
- Google Colab
- Kaggle
Fix tokenizer compatibility with newer transformers versions
#5 opened 8 months ago
by
Alonadoli
Error and fix with tokenizer.json and PyDecoderWrapper
#4 opened 9 months ago
by
LCezanne99