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sapadev13
/
sapa_model_indoV4

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

Instructions to use sapadev13/sapa_model_indoV4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sapadev13/sapa_model_indoV4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="sapadev13/sapa_model_indoV4")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("sapadev13/sapa_model_indoV4")
    model = AutoModel.from_pretrained("sapadev13/sapa_model_indoV4")
  • Notebooks
  • Google Colab
  • Kaggle
sapa_model_indoV4
58.8 MB
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  • 1 contributor
History: 7 commits
sapadev13's picture
sapadev13
Upload regressor.pt with huggingface_hub
25de5f2 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    5.17 kB
    Upload model 4 months ago
  • config.json
    743 Bytes
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  • model.safetensors
    57.4 MB
    xet
    Upload model 4 months ago
  • regressor.pt

    Detected Pickle imports (3)

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

    What is a pickle import?

    460 kB
    xet
    Upload regressor.pt with huggingface_hub 4 months ago
  • special_tokens_map.json
    132 Bytes
    Upload tokenizer 4 months ago
  • tokenizer.json
    709 kB
    Upload tokenizer 4 months ago
  • tokenizer_config.json
    1.32 kB
    Upload tokenizer 4 months ago
  • vocab.txt
    229 kB
    Upload tokenizer 4 months ago