Token Classification
Transformers
PyTorch
ONNX
Safetensors
English
distilbert
Generated from Trainer
Instructions to use Isotonic/distilbert_finetuned_ai4privacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isotonic/distilbert_finetuned_ai4privacy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Isotonic/distilbert_finetuned_ai4privacy")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Isotonic/distilbert_finetuned_ai4privacy") model = AutoModelForTokenClassification.from_pretrained("Isotonic/distilbert_finetuned_ai4privacy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff69f9af17fa1f4a12af5564fe80f04d61f6cb1c5a6fc27a7d854791db5301d9
- Size of remote file:
- 266 MB
- SHA256:
- d1f66b19aeb67f721e4c2759263fcd8e36f8e08e2e3ac60307928db5598971a8
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