Sentence Similarity
Transformers
PyTorch
TensorFlow
JAX
Safetensors
bert
feature-extraction
sentence_embedding
multilingual
google
labse
text-embeddings-inference
Instructions to use setu4993/smaller-LaBSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use setu4993/smaller-LaBSE with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("setu4993/smaller-LaBSE") model = AutoModel.from_pretrained("setu4993/smaller-LaBSE") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9721a054949c51dd5c64ccb5d9e4b69d8db409e623cdb02cd528ea73aedd177
- Size of remote file:
- 877 MB
- SHA256:
- fd35ca85ae5361125c52f076201ceee53a8f7b6b95923740707adb2cef327816
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