Text Classification
Transformers
Safetensors
English
deberta-v2
product-detection
hazard-detection
text-embeddings-inference
Instructions to use Quintu/deberta-multitask-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Quintu/deberta-multitask-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Quintu/deberta-multitask-v0")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Quintu/deberta-multitask-v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed87f1bc59f5d1c40696476d196e434d8187c1fe35b9f96c3fc58edfe14f7c3a
- Size of remote file:
- 5.18 kB
- SHA256:
- 98a060bf6b8d15c86839a56b6fd991015acc22276326356ae6ac5634f2dcb7bf
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