Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use adrienbrdne/deberta-v3-base-problematic-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adrienbrdne/deberta-v3-base-problematic-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adrienbrdne/deberta-v3-base-problematic-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adrienbrdne/deberta-v3-base-problematic-classifier") model = AutoModelForSequenceClassification.from_pretrained("adrienbrdne/deberta-v3-base-problematic-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc4319af250b10c5033a1bc61ad241da7ddda577d7fdb936a3886ade1941fdfd
- Size of remote file:
- 5.37 kB
- SHA256:
- cc09bd7f81cfefb4601682d548b8b1b53c5d77468cb5c627353aeebf7a7c4726
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