Instructions to use NLPclass/bert_textclassification_persiandata2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLPclass/bert_textclassification_persiandata2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NLPclass/bert_textclassification_persiandata2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NLPclass/bert_textclassification_persiandata2") model = AutoModelForSequenceClassification.from_pretrained("NLPclass/bert_textclassification_persiandata2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8662b0f9d7f147445fbe31634da4124258f83293c0cb55c8694b8a15e2f1e20
- Size of remote file:
- 5.05 kB
- SHA256:
- 22531e8b8f575a69a370a19b6d9f5c74a71dc1092ab4853d8be2149bfcef956e
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