Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
multi-label-classification
multi-intent-detection
huggingface
deberta-v3
text-embeddings-inference
Instructions to use matchaoneshot/2024HyuNlpHw4Mid-deberta-large-ferdi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matchaoneshot/2024HyuNlpHw4Mid-deberta-large-ferdi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="matchaoneshot/2024HyuNlpHw4Mid-deberta-large-ferdi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("matchaoneshot/2024HyuNlpHw4Mid-deberta-large-ferdi") model = AutoModelForSequenceClassification.from_pretrained("matchaoneshot/2024HyuNlpHw4Mid-deberta-large-ferdi") - Notebooks
- Google Colab
- Kaggle
Ctrl+K