Token Classification
Transformers
TensorFlow
English
bert
generated_from_keras_callback
named entity recognition
bert-base finetuned
umair akram
Instructions to use MUmairAB/bert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MUmairAB/bert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MUmairAB/bert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MUmairAB/bert-ner") model = AutoModelForTokenClassification.from_pretrained("MUmairAB/bert-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0392a102439acce751ad9bf1bc5aa53f99d72bdeb71d1e5eeb9f0330650c806
- Size of remote file:
- 431 MB
- SHA256:
- b3981bb896f9cdf918d5ecfb916ea5e928e431d75dc042b2580a75189424557c
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