Sentence Similarity
Transformers
PyTorch
TensorFlow
JAX
Safetensors
bert
feature-extraction
sentence_embedding
multilingual
google
lealla
labse
text-embeddings-inference
Instructions to use setu4993/LEALLA-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use setu4993/LEALLA-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("setu4993/LEALLA-base") model = AutoModel.from_pretrained("setu4993/LEALLA-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa97b19bad862a4064ece00b82ac905ed0d1e1e6afaa3f83a17163f34a92afe1
- Size of remote file:
- 429 MB
- SHA256:
- c295cd806afc9516e4f2a99192e1a0437d17163f4a82f05107ac7a5e7f91a882
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