Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use muibk/bert-finetuned-ner_TEST_HFCOURSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muibk/bert-finetuned-ner_TEST_HFCOURSE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="muibk/bert-finetuned-ner_TEST_HFCOURSE")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("muibk/bert-finetuned-ner_TEST_HFCOURSE") model = AutoModelForTokenClassification.from_pretrained("muibk/bert-finetuned-ner_TEST_HFCOURSE") - Notebooks
- Google Colab
- Kaggle
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