Text Classification
Transformers
PyTorch
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use strickvl/nlp-redaction-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use strickvl/nlp-redaction-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="strickvl/nlp-redaction-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("strickvl/nlp-redaction-classifier") model = AutoModelForSequenceClassification.from_pretrained("strickvl/nlp-redaction-classifier") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- pytorch_model.bin +1 -1
- training_args.bin +1 -1
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