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jjzha
/
jobberta-base

Fill-Mask
Transformers
PyTorch
ONNX
Safetensors
English
roberta
JobBERTa
job postings
Model card Files Files and versions
xet
Community
3

Instructions to use jjzha/jobberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jjzha/jobberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="jjzha/jobberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("jjzha/jobberta-base")
    model = AutoModelForMaskedLM.from_pretrained("jjzha/jobberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
jobberta-base
Ctrl+K
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  • 3 contributors
History: 8 commits
jjzha's picture
jjzha
Adding ONNX file of this model (#3)
6b2dd25 verified over 1 year ago
  • onnx
    Adding ONNX file of this model (#3) over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    2.25 kB
    Update README.md about 2 years ago
  • config.json
    782 Bytes
    initial commit about 3 years ago
  • merges.txt
    456 kB
    initial commit about 3 years ago
  • model.safetensors
    499 MB
    xet
    Adding `safetensors` variant of this model (#2) over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
    initial commit about 3 years ago
  • special_tokens_map.json
    280 Bytes
    initial commit about 3 years ago
  • tokenizer.json
    2.11 MB
    initial commit about 3 years ago
  • tokenizer_config.json
    380 Bytes
    initial commit about 3 years ago
  • vocab.json
    798 kB
    initial commit about 3 years ago