Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Wende/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wende/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Wende/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Wende/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Wende/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f47dd58b5de727966b67f225abbe58044e6556e3dc35056e3a3b51157ccdb7fc
- Size of remote file:
- 2.86 kB
- SHA256:
- 5f966253ea99f71666652ba2f31be72627f41ed5d9fe78ba931a31f3c4734a8b
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