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:
- de1b18699e26b817d43aa8cf30835a6d28b5964616d61d37bcbf95d4478cef55
- Size of remote file:
- 590 MB
- SHA256:
- 0c1cf1ce33cfea67ff8bc238e6ea796675d75234e2c97c1e7331066aaed7cf2e
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