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 "sentence-transformers" library name
#6
by tomaarsen HF Staff - opened
Hello!
Pull Request overview
- Add "sentence-transformers" library name
Details
This allows the model to be found more easily, for HF to put the correct "Use with Model" suggestions, for MTEB to consider this model as "Sentence Transformers compatible", and for the inference API widget to work nicely (though that one might already work fine with Feature Extraction).
- Tom Aarsen