Instructions to use MariamOsama3/Mariam_classifer1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MariamOsama3/Mariam_classifer1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MariamOsama3/Mariam_classifer1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MariamOsama3/Mariam_classifer1") model = AutoModelForTokenClassification.from_pretrained("MariamOsama3/Mariam_classifer1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Mariam_classifer1
This model is a fine-tuned version of MariamOsama3/Mariam_classifer on an unknown dataset. It achieves the following results on the evaluation set:
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32
Training results
Framework versions
- Transformers 4.51.1
- TensorFlow 2.18.0
- Datasets 3.5.0
- Tokenizers 0.21.0
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Model tree for MariamOsama3/Mariam_classifer1
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aubmindlab/bert-base-arabertv02 Finetuned
MariamOsama3/Mariam_classifer