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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05db3888c3bf5265e5582c9ccd414dda19dd99c7dc0d258ebfc7e512e14933c7
- Size of remote file:
- 2.24 GB
- SHA256:
- e08b024ee2b4cf4e2364ba1c4f9ea763764d6ea7081e303b836dc19bd5a3a8b1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.