Sentence Similarity
Transformers
PyTorch
TensorFlow
JAX
Safetensors
bert
feature-extraction
sentence_embedding
multilingual
google
lealla
labse
text-embeddings-inference
Instructions to use setu4993/LEALLA-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use setu4993/LEALLA-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("setu4993/LEALLA-large") model = AutoModel.from_pretrained("setu4993/LEALLA-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 568010a6761ba4842f18a448c01cbb1ced54fa6f33393ab89346d237151c407b
- Size of remote file:
- 590 MB
- SHA256:
- 8d57742e03c77b51af763ff545bfbe6def20bcfae4a91040f3a64741564e31b7
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