Instructions to use proycon/robbert-pos-cased-deepfrog-nld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use proycon/robbert-pos-cased-deepfrog-nld with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="proycon/robbert-pos-cased-deepfrog-nld")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("proycon/robbert-pos-cased-deepfrog-nld") model = AutoModelForTokenClassification.from_pretrained("proycon/robbert-pos-cased-deepfrog-nld") - Notebooks
- Google Colab
- Kaggle
Update test_results.txt
Browse files- test_results.txt +4 -0
test_results.txt
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f1 = 0.9708171206225681
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loss = 0.07882563415198372
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precision = 0.9708171206225681
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recall = 0.9708171206225681
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