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:
- e63b2d69f3f1307e3f97794226c9aa8d7896bb2628a62251d7afd8b7941f71e5
- Size of remote file:
- 5.05 kB
- SHA256:
- c16cd744a4ea8e15172e5821439db4debdb91476c0db76bea87df371e7e58187
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