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finiteautomata
/
robertuitonews-cased-tweetcontext

Fill-Mask
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use finiteautomata/robertuitonews-cased-tweetcontext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use finiteautomata/robertuitonews-cased-tweetcontext with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="finiteautomata/robertuitonews-cased-tweetcontext")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("finiteautomata/robertuitonews-cased-tweetcontext")
    model = AutoModelForMaskedLM.from_pretrained("finiteautomata/robertuitonews-cased-tweetcontext")
  • Notebooks
  • Google Colab
  • Kaggle
robertuitonews-cased-tweetcontext
436 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
finiteautomata's picture
finiteautomata
First commit
0d29304 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • all_results.json
    414 Bytes
    First commit over 4 years ago
  • config.json
    736 Bytes
    First commit over 4 years ago
  • eval_results.json
    230 Bytes
    First commit over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    435 MB
    xet
    First commit over 4 years ago
  • special_tokens_map.json
    150 Bytes
    First commit over 4 years ago
  • tokenizer.json
    828 kB
    First commit over 4 years ago
  • tokenizer_config.json
    331 Bytes
    First commit over 4 years ago
  • train_results.json
    205 Bytes
    First commit over 4 years ago
  • trainer_state.json
    26.4 kB
    First commit over 4 years ago