Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use js7123/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use js7123/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="js7123/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("js7123/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("js7123/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26109eb43cc5201787369053ddf807ea8c652c1660749b406e8d9a82a80cab87
- Size of remote file:
- 5.11 kB
- SHA256:
- ebda453bfc8fb03794ad7d11bbeca9cf485cdc52ebbbca3143054dd8c8a1bdd6
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