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pourmand1376
/
NER_Farsi

Token Classification
Transformers
PyTorch
Safetensors
bert
Model card Files Files and versions
xet
Community
1

Instructions to use pourmand1376/NER_Farsi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pourmand1376/NER_Farsi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="pourmand1376/NER_Farsi")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pourmand1376/NER_Farsi")
    model = AutoModelForTokenClassification.from_pretrained("pourmand1376/NER_Farsi")
  • Notebooks
  • Google Colab
  • Kaggle
NER_Farsi
943 MB
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  • 2 contributors
History: 8 commits
pourmand1376's picture
pourmand1376
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
dd3f0c1 about 3 years ago
  • .gitattributes
    1.4 kB
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    368 Bytes
    Update README.md almost 4 years ago
  • config.json
    1.05 kB
    add model almost 4 years ago
  • model.safetensors
    471 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    471 MB
    xet
    add model almost 4 years ago
  • special_tokens_map.json
    125 Bytes
    add tokenizer almost 4 years ago
  • tokenizer.json
    1.11 MB
    add tokenizer almost 4 years ago
  • tokenizer_config.json
    363 Bytes
    add tokenizer almost 4 years ago
  • vocab.txt
    426 kB
    add tokenizer almost 4 years ago