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OrdalieTech
/
Solon-embeddings-large-0.1

Feature Extraction
Transformers
Safetensors
French
xlm-roberta
mteb
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
9

Instructions to use OrdalieTech/Solon-embeddings-large-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OrdalieTech/Solon-embeddings-large-0.1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="OrdalieTech/Solon-embeddings-large-0.1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("OrdalieTech/Solon-embeddings-large-0.1")
    model = AutoModel.from_pretrained("OrdalieTech/Solon-embeddings-large-0.1")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add exported onnx model 'model_O4.onnx'

#9 opened about 2 months ago by
lomoulin

Training / Fine-tuning instructions ?

👍 1
1
#8 opened over 1 year ago by
ThomasPJ

query :

1
#7 opened almost 2 years ago by
YorelNation

Add "sentence-transformers" library name

#6 opened almost 2 years ago by
tomaarsen

Feature extraction output dimentions, how to use as sentence embedding ?

2
#5 opened about 2 years ago by
YorelNation

Which metric are you using to rank models ?

5
#2 opened about 2 years ago by
OmarMorsli
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