Text Classification
Transformers
Safetensors
PyTorch
Persian
bert
sentiment-analysis
parsbert
persian
text-embeddings-inference
Instructions to use MTE313/NEXARA_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MTE313/NEXARA_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MTE313/NEXARA_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MTE313/NEXARA_Model") model = AutoModelForSequenceClassification.from_pretrained("MTE313/NEXARA_Model") - Notebooks
- Google Colab
- Kaggle
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