Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use tom-010/judge_answer___33_deberta_base_enwiki-answerability-2411 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tom-010/judge_answer___33_deberta_base_enwiki-answerability-2411 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tom-010/judge_answer___33_deberta_base_enwiki-answerability-2411")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tom-010/judge_answer___33_deberta_base_enwiki-answerability-2411") model = AutoModelForSequenceClassification.from_pretrained("tom-010/judge_answer___33_deberta_base_enwiki-answerability-2411") - Notebooks
- Google Colab
- Kaggle
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