Instructions to use saattrupdan/employment-contract-ner-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saattrupdan/employment-contract-ner-da with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="saattrupdan/employment-contract-ner-da")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("saattrupdan/employment-contract-ner-da") model = AutoModelForTokenClassification.from_pretrained("saattrupdan/employment-contract-ner-da", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
d7a1693
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Parent(s): 8a0d91f
Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (681fea165f45e78a4d8894bcf368a7a683d9d6f8)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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language:
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- da
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license: mit
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model-index:
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- name: contract-ner-model-da
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results: []
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widget:
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inference:
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parameters:
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aggregation_strategy:
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---
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# contract-ner-model-da
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language:
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- da
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license: mit
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widget:
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- Medarbejderen starter arbejdet den 1. januar 2020 og afslutter arbejdet den 21.
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januar 2020. Den ugentlige arbejdstid er 37 timer, og medarbejderen bliver aflønnet
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med 23.000,00 kr. om måneden. Arbejdsstedet er Supervej 21, 2000 Frederiksberg.
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inference:
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parameters:
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aggregation_strategy: first
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base_model: xlm-roberta-base
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model-index:
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- name: contract-ner-model-da
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results: []
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---
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# contract-ner-model-da
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