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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 018ef35bf0c9e1dae6ed570bb02041e3359baf85d3d2bfd64fb3f620ecc32551
- Size of remote file:
- 590 MB
- SHA256:
- c21233d9f284d55d4f25815efd41a669358b9d0f954706f6568e852a5b212979
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