Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use adrienbrdne/deberta-v3-base-problematic-classifier-nd 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-nd 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-nd")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adrienbrdne/deberta-v3-base-problematic-classifier-nd") model = AutoModelForSequenceClassification.from_pretrained("adrienbrdne/deberta-v3-base-problematic-classifier-nd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50271951b15c48b63816a588c9f403ef2082805d17a6a99243cae9a45140050a
- Size of remote file:
- 5.37 kB
- SHA256:
- 54dd4e5d096bf92661132589cd5f47ea5460ead8a03d195360715df5607738a8
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