Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use drdspace/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drdspace/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="drdspace/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("drdspace/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("drdspace/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ec0a3bdddb47334a3208e3b5317779f102324e140f2923a57b1e3711b784bff
- Size of remote file:
- 431 MB
- SHA256:
- 8d8fe92c970599697429f67f26152514436cbc6f1ea3cdd6f6950a4bb1a616dd
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