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:
- f4171b66e5499a5653e90053aec465e1cf0f20bba9c84dfc913e9df8fca2605e
- Size of remote file:
- 428 MB
- SHA256:
- 5fb7be2f8201f5296052846a34bded5f53971bb73036f54e3e56e9c0a885c82b
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