Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use afazrihady/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afazrihady/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="afazrihady/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("afazrihady/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("afazrihady/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abc935233b6fce71bb08f9d58b5bd5d461b2dd9b0c44642ee48732ec74bc5406
- Size of remote file:
- 5.3 kB
- SHA256:
- dcc7463c4b2def740838aa1bb9174cab99e1320b68ee4ae4d07f6434a580d9b1
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