Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use ashield-ai/prompt-classification-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashield-ai/prompt-classification-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ashield-ai/prompt-classification-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ashield-ai/prompt-classification-bert") model = AutoModelForSequenceClassification.from_pretrained("ashield-ai/prompt-classification-bert") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- runs/Jan09_21-39-34_ip-172-16-105-121.ec2.internal/events.out.tfevents.1736458775.ip-172-16-105-121.ec2.internal.18764.8 +3 -0
- runs/Jan09_21-41-25_ip-172-16-105-121.ec2.internal/events.out.tfevents.1736458886.ip-172-16-105-121.ec2.internal.18764.9 +3 -0
- runs/Jan09_21-43-31_ip-172-16-105-121.ec2.internal/events.out.tfevents.1736459012.ip-172-16-105-121.ec2.internal.18764.10 +3 -0
- training_args.bin +1 -1
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