Instructions to use NLPclass/text_classification_Persian_language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLPclass/text_classification_Persian_language with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NLPclass/text_classification_Persian_language")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NLPclass/text_classification_Persian_language") model = AutoModelForSequenceClassification.from_pretrained("NLPclass/text_classification_Persian_language", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 755248b1b43bea6372d14ec8c41cecc8b8fcaf5c77e648fb7adf9e13242e4b86
- Size of remote file:
- 652 MB
- SHA256:
- 209d75026b78d25e3efb0695378052eec99674189a5b2de0dc18dfe37b1df9d2
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