Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

hotchpotch
/
vespa-onnx-intfloat-multilingual-e5-large

Feature Extraction
Transformers
ONNX
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use hotchpotch/vespa-onnx-intfloat-multilingual-e5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hotchpotch/vespa-onnx-intfloat-multilingual-e5-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="hotchpotch/vespa-onnx-intfloat-multilingual-e5-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("hotchpotch/vespa-onnx-intfloat-multilingual-e5-large")
    model = AutoModel.from_pretrained("hotchpotch/vespa-onnx-intfloat-multilingual-e5-large", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vespa-onnx-intfloat-multilingual-e5-large
3.95 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
hotchpotch's picture
hotchpotch
Update README.md
d544ad3 verified over 2 years ago
  • .gitattributes
    1.57 kB
    Upload folder using huggingface_hub over 2 years ago
  • README.md
    2.87 kB
    Update README.md over 2 years ago
  • config.json
    695 Bytes
    Upload folder using huggingface_hub over 2 years ago
  • intfloat-multilingual-e5-large_fp16.onnx
    1.12 GB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • intfloat-multilingual-e5-large_quantized.onnx
    562 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • multilingual-e5-large-int8-arm64.onnx
    562 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • multilingual-e5-large-int8-avx2.onnx
    562 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • multilingual-e5-large-int8-avx512.onnx
    562 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • multilingual-e5-large-int8-avx512_vnni.onnx
    562 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • ort_config.json
    830 Bytes
    Upload folder using huggingface_hub over 2 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • special_tokens_map.json
    964 Bytes
    Upload folder using huggingface_hub over 2 years ago
  • tokenizer.json
    17.1 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • tokenizer_config.json
    1.15 kB
    Upload folder using huggingface_hub over 2 years ago