Instructions to use HooshvareLab/bert-fa-zwnj-base-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HooshvareLab/bert-fa-zwnj-base-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HooshvareLab/bert-fa-zwnj-base-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/bert-fa-zwnj-base-ner") model = AutoModelForTokenClassification.from_pretrained("HooshvareLab/bert-fa-zwnj-base-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37a6a10534eeb78b35c296a8255bd155fbb0394bee6f7ed992ab540343571bf9
- Size of remote file:
- 471 MB
- SHA256:
- 0060567e2193d40844f08ffa1b5e73bdfa3e74257aaccc616ffcb1e5442d323c
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