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mrm8488
/
RuPERTa-base-finetuned-ner

Token Classification
Transformers
PyTorch
JAX
Safetensors
Spanish
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use mrm8488/RuPERTa-base-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mrm8488/RuPERTa-base-finetuned-ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="mrm8488/RuPERTa-base-finetuned-ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mrm8488/RuPERTa-base-finetuned-ner")
    model = AutoModelForTokenClassification.from_pretrained("mrm8488/RuPERTa-base-finetuned-ner")
  • Notebooks
  • Google Colab
  • Kaggle
RuPERTa-base-finetuned-ner
1.51 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 19 commits
mrm8488's picture
mrm8488
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
8bcfa07 about 3 years ago
  • .gitattributes
    445 Bytes
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    2.19 kB
    Migrate model card from transformers-repo over 5 years ago
  • config.json
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  • eval_results.txt
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  • flax_model.msgpack
    502 MB
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    upload flax model almost 5 years ago
  • merges.txt
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    Update merges.txt about 6 years ago
  • model.safetensors
    504 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    504 MB
    xet
    Update pytorch_model.bin almost 6 years ago
  • special_tokens_map.json
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  • tokenizer_config.json
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  • training_args.bin
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  • vocab.json
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