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AnonymousSub
/
SR_specter

Feature Extraction
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use AnonymousSub/SR_specter with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="AnonymousSub/SR_specter")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SR_specter")
    model = AutoModel.from_pretrained("AnonymousSub/SR_specter")
  • Notebooks
  • Google Colab
  • Kaggle
SR_specter
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
AnonymousSub's picture
AnonymousSub
add tokenizer
a119e78 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    704 Bytes
    add model over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage"

    What is a pickle import?

    438 MB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer over 4 years ago
  • tokenizer.json
    466 kB
    add tokenizer over 4 years ago
  • tokenizer_config.json
    321 Bytes
    add tokenizer over 4 years ago
  • vocab.txt
    232 kB
    add tokenizer over 4 years ago