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GPTCache
/
paraphrase-albert-small-v2

Feature Extraction
Transformers
albert
Model card Files Files and versions
xet
Community
1

Instructions to use GPTCache/paraphrase-albert-small-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GPTCache/paraphrase-albert-small-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="GPTCache/paraphrase-albert-small-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("GPTCache/paraphrase-albert-small-v2")
    model = AutoModel.from_pretrained("GPTCache/paraphrase-albert-small-v2")
  • Notebooks
  • Google Colab
  • Kaggle
paraphrase-albert-small-v2
2.07 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
wxy9326's picture
wxy9326
First commit.
5fb2461 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    21 Bytes
    initial commit about 3 years ago
  • config.json
    827 Bytes
    First commit. about 3 years ago
  • special_tokens_map.json
    245 Bytes
    First commit. about 3 years ago
  • spiece.model
    760 kB
    xet
    First commit. about 3 years ago
  • tokenizer.json
    1.31 MB
    First commit. about 3 years ago
  • tokenizer_config.json
    465 Bytes
    First commit. about 3 years ago