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:
- e2951932943d0f9232a1be9365b97476f8fadf98302b1e585ca86fa6f99d0549
- Size of remote file:
- 651 MB
- SHA256:
- 3f09100e7a4a3fe604be683d81a28f1bff54da55b05aba3fb42a5c918ec44abd
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