Instructions to use HooshvareLab/bert-fa-base-uncased-ner-arman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HooshvareLab/bert-fa-base-uncased-ner-arman with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HooshvareLab/bert-fa-base-uncased-ner-arman")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/bert-fa-base-uncased-ner-arman") model = AutoModelForTokenClassification.from_pretrained("HooshvareLab/bert-fa-base-uncased-ner-arman", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c238ac8f2bdde6f725929a44d4cfd67e17cb5f02842d79ad5899a7855300a27c
- Size of remote file:
- 1.58 kB
- SHA256:
- 8169bc836adfba03ae24be2f83c6c85497290985a9faa422c2399708fcb1cd4e
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