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TheBguy87
/
roBERTa-Model-sst2-BabyLM-Challenge-Strict-Small

Text Classification
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use TheBguy87/roBERTa-Model-sst2-BabyLM-Challenge-Strict-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TheBguy87/roBERTa-Model-sst2-BabyLM-Challenge-Strict-Small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="TheBguy87/roBERTa-Model-sst2-BabyLM-Challenge-Strict-Small")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("TheBguy87/roBERTa-Model-sst2-BabyLM-Challenge-Strict-Small")
    model = AutoModelForSequenceClassification.from_pretrained("TheBguy87/roBERTa-Model-sst2-BabyLM-Challenge-Strict-Small")
  • Notebooks
  • Google Colab
  • Kaggle
roBERTa-Model-sst2-BabyLM-Challenge-Strict-Small
335 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
TheBguy87's picture
TheBguy87
roBERTa model finetuned with sst2
0b9f451 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • all_results.json
    439 Bytes
    roBERTa model finetuned with sst2 about 3 years ago
  • config.json
    842 Bytes
    roBERTa model finetuned with sst2 about 3 years ago
  • eval_results.json
    262 Bytes
    roBERTa model finetuned with sst2 about 3 years ago
  • merges.txt
    470 kB
    roBERTa model finetuned with sst2 about 3 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?

    334 MB
    xet
    roBERTa model finetuned with sst2 about 3 years ago
  • special_tokens_map.json
    957 Bytes
    roBERTa model finetuned with sst2 about 3 years ago
  • tokenizer_config.json
    1.39 kB
    roBERTa model finetuned with sst2 about 3 years ago
  • train_results.json
    197 Bytes
    roBERTa model finetuned with sst2 about 3 years ago
  • trainer_state.json
    11.2 kB
    roBERTa model finetuned with sst2 about 3 years ago
  • vocab.json
    1.03 MB
    roBERTa model finetuned with sst2 about 3 years ago