Token Classification
Transformers
Safetensors
Arabic
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Tevfik-istanbullu/camelbert-ner-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tevfik-istanbullu/camelbert-ner-arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tevfik-istanbullu/camelbert-ner-arabic")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tevfik-istanbullu/camelbert-ner-arabic") model = AutoModelForTokenClassification.from_pretrained("Tevfik-istanbullu/camelbert-ner-arabic") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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model-index:
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- name: camelbert-ner-arabic
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.46.2
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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model-index:
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- name: camelbert-ner-arabic
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results: []
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datasets:
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- unimelb-nlp/wikiann
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.46.2
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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