Sentence Similarity
sentence-transformers
PyTorch
Safetensors
French
flaubert
Text
Sentence Similarity
Sentence-Embedding
camembert-base
Eval Results (legacy)
Instructions to use Lajavaness/sentence-flaubert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Lajavaness/sentence-flaubert-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Lajavaness/sentence-flaubert-base") sentences = [ "C'est une personne heureuse", "C'est un chien heureux", "C'est une personne très heureuse", "Aujourd'hui est une journée ensoleillée" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
Download config_sentence_transformers.json from Lajavaness/sentence-flaubert-base: direct link, hf CLI and curl.
- Browser
- Download file 123 Bytes
-
https://huggingface.co/Lajavaness/sentence-flaubert-base/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://Lajavaness/sentence-flaubert-base/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/Lajavaness/sentence-flaubert-base/resolve/main/config_sentence_transformers.json
123 Bytes
| { | |
| "__version__": { | |
| "sentence_transformers": "2.1.0", | |
| "transformers": "4.11.3", | |
| "pytorch": "1.9.0+cu102" | |
| } | |
| } |