Instructions to use abbasmahmudiai/NER_tokenclassification_persian1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abbasmahmudiai/NER_tokenclassification_persian1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="abbasmahmudiai/NER_tokenclassification_persian1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("abbasmahmudiai/NER_tokenclassification_persian1") model = AutoModelForTokenClassification.from_pretrained("abbasmahmudiai/NER_tokenclassification_persian1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ff2838c771aac3b192c6145c127074d50d85aa67b1dce39010d37b805a13c4a
- Size of remote file:
- 649 MB
- SHA256:
- 04276f05201ed899bd8849560afeddff3729ae14984ad45bd88501b6d97dbc15
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