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fresha
/
e5-large-v2-endpoint

Feature Extraction
Transformers
PyTorch
Safetensors
English
bert
mteb
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use fresha/e5-large-v2-endpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fresha/e5-large-v2-endpoint with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="fresha/e5-large-v2-endpoint")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("fresha/e5-large-v2-endpoint")
    model = AutoModel.from_pretrained("fresha/e5-large-v2-endpoint")
  • Notebooks
  • Google Colab
  • Kaggle
e5-large-v2-endpoint
Ctrl+K
Ctrl+K
  • 3 contributors
History: 13 commits
Hans Elias J
fix norm
ce64906 almost 3 years ago
  • 1_Pooling
    sentence transformers compat (#6) almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    65.6 kB
    Update README.md almost 3 years ago
  • config.json
    616 Bytes
    upload model weights almost 3 years ago
  • handler.py
    1.31 kB
    fix norm almost 3 years ago
  • model.safetensors
    1.34 GB
    xet
    Adding `safetensors` variant of this model (#7) almost 3 years ago
  • modules.json
    387 Bytes
    sentence transformers compat (#6) almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.34 GB
    xet
    upload model weights almost 3 years ago
  • requirements.txt
    11 Bytes
    add requirements almost 3 years ago
  • sentence_bert_config.json
    57 Bytes
    sentence transformers compat (#6) almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    upload model weights almost 3 years ago
  • tokenizer.json
    711 kB
    upload model weights almost 3 years ago
  • tokenizer_config.json
    314 Bytes
    upload model weights almost 3 years ago
  • vocab.txt
    232 kB
    upload model weights almost 3 years ago