Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use DOOGLAK/Article_50v3_NER_Model_3Epochs_UNAUGMENTED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DOOGLAK/Article_50v3_NER_Model_3Epochs_UNAUGMENTED with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DOOGLAK/Article_50v3_NER_Model_3Epochs_UNAUGMENTED")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DOOGLAK/Article_50v3_NER_Model_3Epochs_UNAUGMENTED") model = AutoModelForTokenClassification.from_pretrained("DOOGLAK/Article_50v3_NER_Model_3Epochs_UNAUGMENTED") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
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