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:
- a8d24e994e11d56edbd05f5b28129dc8cf7ac328b4c32bf5c0c5c4ecc2a434c1
- Size of remote file:
- 738 MB
- SHA256:
- fa3312c0a8cc996ad7faba0b3e3d3c2936e43c69ce27148b9f2c502087914309
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