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:
- 3e1f14d5865c889b29af8af593ab7a8161b0cc7b810959347abcb203d0492e7a
- Size of remote file:
- 4.03 kB
- SHA256:
- f57345f9ac1951300c7ce758c7c876146698300b091c1bbf6b1a05d927736058
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