Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use KatoHF/deberta-v3-large-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KatoHF/deberta-v3-large-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KatoHF/deberta-v3-large-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KatoHF/deberta-v3-large-classifier") model = AutoModelForSequenceClassification.from_pretrained("KatoHF/deberta-v3-large-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3de9c9530e3c5522329e8dbe23951e7adbf13dd787c924c5773dadc9ea2a7df0
- Size of remote file:
- 5.69 kB
- SHA256:
- 5d1743ce111191a686a55adbc290b3e916ec21b8424f91a02cb4efbaa1c464c5
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