Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use Erfan2001/Final_PersianTextClassificationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Erfan2001/Final_PersianTextClassificationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Erfan2001/Final_PersianTextClassificationModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Erfan2001/Final_PersianTextClassificationModel") model = AutoModelForSequenceClassification.from_pretrained("Erfan2001/Final_PersianTextClassificationModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ba0e7a24ab3590086cae4f67a94ded18aadf87596cd4c339751704a444857e0
- Size of remote file:
- 712 MB
- SHA256:
- 1372888653eed0989b888e92391c57ec1cfd866d34e55b9e20d76a51867b34ee
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