Token Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use Falah/arabic2023_ner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falah/arabic2023_ner_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Falah/arabic2023_ner_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Falah/arabic2023_ner_model") model = AutoModelForTokenClassification.from_pretrained("Falah/arabic2023_ner_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc59713466c7edeaa38dee56e85cb5193b34e7ddeacf5e44f2091c68c5e0ac73
- Size of remote file:
- 3.58 kB
- SHA256:
- a2f025cad65bf887ae6c25bb85a1499931ce20b6c69d60aef85cf02443ad6c0b
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