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")# pip install -U transformers accelerate # 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
Download pytorch_model.bin from saattrupdan/employment-contract-ner-da: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/saattrupdan/employment-contract-ner-da/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://saattrupdan/employment-contract-ner-da/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/saattrupdan/employment-contract-ner-da/resolve/main/pytorch_model.bin
1.11 GB
- Xet hash:
- 1b595edba5c1bd01aa60c7dab2895b867ba3f7d557162432d5b7338b768cb220
- Size of remote file:
- 1.11 GB
- SHA256:
- e1af30b974914c960e3a9dd105cbc6afc4fd4031c5bedf2b55963f9b02bf1e59
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