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finiteautomata
/
robertuitonews-tweetcontext

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

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

  • Libraries
  • Transformers

    How to use finiteautomata/robertuitonews-tweetcontext with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="finiteautomata/robertuitonews-tweetcontext")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("finiteautomata/robertuitonews-tweetcontext")
    model = AutoModelForMaskedLM.from_pretrained("finiteautomata/robertuitonews-tweetcontext")
  • Notebooks
  • Google Colab
  • Kaggle
robertuitonews-tweetcontext
872 MB
Ctrl+K
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  • 2 contributors
History: 4 commits
finiteautomata's picture
finiteautomata
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
ca11509 about 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • all_results.json
    408 Bytes
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  • config.json
    738 Bytes
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  • eval_results.json
    229 Bytes
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  • model.safetensors
    435 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    435 MB
    xet
    First model over 4 years ago
  • special_tokens_map.json
    150 Bytes
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  • tokenizer.json
    858 kB
    Update tokenizer over 4 years ago
  • tokenizer_config.json
    335 Bytes
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  • train_results.json
    200 Bytes
    First model over 4 years ago