Feature Extraction
sentence-transformers
Safetensors
French
modernbert
splade
sparse
retrieval
sentence-similarity
text-embeddings-inference
🇪🇺 Region: EU
Instructions to use alphaedge-ai/sparseup-fr-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/sparseup-fr-v0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/sparseup-fr-v0") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from alphaedge-ai/sparseup-fr-v0: direct link, hf CLI and curl.
- Browser
- Download file 6.94 MB
-
https://huggingface.co/alphaedge-ai/sparseup-fr-v0/resolve/main/tokenizer.json
- Command line
-
hf download hf://alphaedge-ai/sparseup-fr-v0/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/alphaedge-ai/sparseup-fr-v0/resolve/main/tokenizer.json
6.94 MB
File too large to display, you can check the raw version instead.