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
- Xet hash:
- 311375adb6dba565ccb0e8575ad72de91f89ea0bb31fd56159f5757e3a89f8a9
- Size of remote file:
- 6.2 kB
- SHA256:
- a350409a1495f9f3220b2d0d37362cbc3eba76f0c5be2459b1b0e9fe56850e8d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.