Instructions to use horsbug98/Part_2_BERT_Multilingual_Dutch_Model_E1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use horsbug98/Part_2_BERT_Multilingual_Dutch_Model_E1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="horsbug98/Part_2_BERT_Multilingual_Dutch_Model_E1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("horsbug98/Part_2_BERT_Multilingual_Dutch_Model_E1") model = AutoModelForQuestionAnswering.from_pretrained("horsbug98/Part_2_BERT_Multilingual_Dutch_Model_E1") - Notebooks
- Google Colab
- Kaggle
Upload eval_results.json
Browse files- eval_results.json +6 -0
eval_results.json
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{
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"epoch": 1.0,
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"eval_exact_match": 66.87979539641944,
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"eval_f1": 78.88249928531255,
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"eval_samples": 962
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}
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