Feature Extraction
Transformers
Safetensors
French
xlm-roberta
mteb
Eval Results (legacy)
text-embeddings-inference
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
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