Sentence Similarity
Transformers
PyTorch
TensorFlow
JAX
Safetensors
bert
feature-extraction
sentence_embedding
multilingual
google
text-embeddings-inference
Instructions to use setu4993/LaBSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use setu4993/LaBSE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("setu4993/LaBSE") model = AutoModel.from_pretrained("setu4993/LaBSE", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from setu4993/LaBSE: direct link, hf CLI and curl.
- Browser
- Download file 13.6 MB
-
https://huggingface.co/setu4993/LaBSE/resolve/refs%2Fpr%2F3/tokenizer.json
- Command line
-
hf download hf://setu4993/LaBSE@refs/pr/3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/setu4993/LaBSE/resolve/refs%2Fpr%2F3/tokenizer.json
13.6 MB
- Xet hash:
- db805ff5bedae176fd48417e425a5c12c608782e99505dd5b75989913ae47f41
- Size of remote file:
- 13.6 MB
- SHA256:
- 5aab105881afc3a73d5c8445cdc5c0302b1c3efdecd71a1a34fa0cf4e5b7bf43
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