Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use kani1021/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kani1021/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kani1021/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kani1021/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("kani1021/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d678d0455c66af7dd7c377cfd9f040023138111e9e3ed29c90c1eb13b59cd4a
- Size of remote file:
- 5.3 kB
- SHA256:
- 2f8c10ec4b4fbd9bbae0e908fb8e57f631f5fd1d557e9607fe46138b2c120b18
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