Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Yuseifer/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuseifer/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Yuseifer/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Yuseifer/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Yuseifer/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a60c3cf56ba292b1e4a4d477cf6193b5c177ab4ee7a9e4673b9716c21538ea39
- Size of remote file:
- 5.37 kB
- SHA256:
- a5db3e46b5eeda40837ea9c7786db82d58d333018dc1bbb5891a5808aa509651
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