Token Classification
Transformers
PyTorch
Safetensors
German
xlm-roberta
legal
tax law
relation extraction
entity extraction
Instructions to use danielsteinigen/KeyFiTax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielsteinigen/KeyFiTax with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="danielsteinigen/KeyFiTax")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("danielsteinigen/KeyFiTax") model = AutoModelForTokenClassification.from_pretrained("danielsteinigen/KeyFiTax") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 387f5b029fc0cef62d3da23d2c71c554c870bf0ca95e8cf429ba98d3fc1692ce
- Size of remote file:
- 2.24 GB
- SHA256:
- 12fa085ca50379394653ea247029929d4f64385ccb7d5ab9cc02e41ef546c3f4
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