Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use haluptzok/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haluptzok/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="haluptzok/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("haluptzok/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("haluptzok/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5de106b3250c9ac881fd5279b30976e72807f8aef606f8efdc18be45501dcbb3
- Size of remote file:
- 5.18 kB
- SHA256:
- dc901445711d041a17895dbf6fba0c3bd2cc59317b91d03d01500a841d0a29bd
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