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
Commit ·
0a4c0db
1
Parent(s): bf42b1f
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (bf85f77b62dbf52b92ed8fb532c3cb6644dd3f54)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c734eac1824f6843e765aa3bdf00e6b2a4ef142af48e8f698effe84db36649e8
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size 2235571772
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