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research-dump
/
roberta-base_fold_0

Text Classification
Transformers
PyTorch
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use research-dump/roberta-base_fold_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use research-dump/roberta-base_fold_0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="research-dump/roberta-base_fold_0")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("research-dump/roberta-base_fold_0")
    model = AutoModelForSequenceClassification.from_pretrained("research-dump/roberta-base_fold_0")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base_fold_0
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  • 1 contributor
History: 7 commits
hsuvaskakoty's picture
hsuvaskakoty
Upload tokenizer
f9b53f4 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    735 Bytes
    Upload RobertaForSequenceClassification about 2 years ago
  • merges.txt
    456 kB
    Upload tokenizer about 2 years ago
  • pytorch_model.bin
    499 MB
    xet
    Upload RobertaForSequenceClassification about 2 years ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    351 Bytes
    Upload tokenizer about 2 years ago
  • vocab.json
    798 kB
    Upload tokenizer about 2 years ago