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:
- 195c9f20a642cccd62e09676f3dee3207d55401b83627b3196bc2f3aac034212
- Size of remote file:
- 651 MB
- SHA256:
- b2e6b5a002b254264fbea1eff14a31a21488654956839a514915f75760ff474e
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