Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
deberta-v2
text-embeddings-inference
Instructions to use MuneK/deberta-v2-large-japanese-finetuned-wrime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MuneK/deberta-v2-large-japanese-finetuned-wrime with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MuneK/deberta-v2-large-japanese-finetuned-wrime")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MuneK/deberta-v2-large-japanese-finetuned-wrime") model = AutoModelForSequenceClassification.from_pretrained("MuneK/deberta-v2-large-japanese-finetuned-wrime", device_map="auto") - Notebooks
- Google Colab
- Kaggle