Instructions to use NLPclass/NER_tokenclassification_persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLPclass/NER_tokenclassification_persian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="NLPclass/NER_tokenclassification_persian")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("NLPclass/NER_tokenclassification_persian") model = AutoModelForTokenClassification.from_pretrained("NLPclass/NER_tokenclassification_persian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07bfeb1b0a72c662d6bb95bdad7c77554151e43ae28d14696ebb4781add03acc
- Size of remote file:
- 649 MB
- SHA256:
- a43443fc4b5f6509b7d2ba5fa3319d165b76311200c53f343661123086c6504c
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