Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
German
Spanish
distilbert
text-embeddings-inference
Instructions to use fmops/distilbert-prompt-injection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fmops/distilbert-prompt-injection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fmops/distilbert-prompt-injection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fmops/distilbert-prompt-injection") model = AutoModelForSequenceClassification.from_pretrained("fmops/distilbert-prompt-injection") - Notebooks
- Google Colab
- Kaggle
What is the context length of this model?
2
#2 opened almost 2 years ago
by
mstachow