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FartLabs
/
Model_X3

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

Instructions to use FartLabs/Model_X3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FartLabs/Model_X3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="FartLabs/Model_X3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("FartLabs/Model_X3")
    model = AutoModelForSequenceClassification.from_pretrained("FartLabs/Model_X3")
  • Notebooks
  • Google Colab
  • Kaggle
Model_X3
334 MB
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  • 1 contributor
History: 3 commits
yzimmermann's picture
yzimmermann
Upload tokenizer
1aa23ba verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload RobertaForSequenceClassification over 1 year ago
  • added_tokens.json
    32 Bytes
    Upload tokenizer over 1 year ago
  • config.json
    983 Bytes
    Upload RobertaForSequenceClassification over 1 year ago
  • merges.txt
    14 Bytes
    Upload tokenizer over 1 year ago
  • model.safetensors
    334 MB
    xet
    Upload RobertaForSequenceClassification over 1 year ago
  • special_tokens_map.json
    961 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    14 kB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.6 kB
    Upload tokenizer over 1 year ago
  • vocab.json
    6.96 kB
    Upload tokenizer over 1 year ago