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")# pip install -U transformers accelerate # 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
Download tokenizer_config.json from HooshvareLab/bert-fa-base-uncased-ner-arman: direct link, hf CLI and curl.
- Browser
- Download file 62 Bytes
-
https://huggingface.co/HooshvareLab/bert-fa-base-uncased-ner-arman/resolve/46bb01f98b56be5bb2e2bc19faa7a2a837c8bb47/tokenizer_config.json
- Command line
-
hf download hf://HooshvareLab/bert-fa-base-uncased-ner-arman@46bb01f98b56be5bb2e2bc19faa7a2a837c8bb47/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/HooshvareLab/bert-fa-base-uncased-ner-arman/resolve/46bb01f98b56be5bb2e2bc19faa7a2a837c8bb47/tokenizer_config.json
62 Bytes
| {"special_tokens_map_file": null, "full_tokenizer_file": null} |