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
metadata
tags:
- generated_from_keras_callback
model-index:
- name: my-awesome-model
results: []
my-awesome-model
This model was trained from scratch 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 4.30.2
- TensorFlow 2.12.0
- Tokenizers 0.13.3