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:
- c0484a5907bfa60057499bdb06449e3207f028964616c4b1d4976ee100504012
- Size of remote file:
- 17.1 MB
- SHA256:
- 7f6c6cd2187fd44407ae578446f51e29aef61147368380b76f051a6138cb41d5
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