Sentence Similarity
Transformers
PyTorch
TensorFlow
JAX
Safetensors
bert
feature-extraction
sentence_embedding
multilingual
google
lealla
labse
text-embeddings-inference
Instructions to use setu4993/LEALLA-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use setu4993/LEALLA-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("setu4993/LEALLA-small") model = AutoModel.from_pretrained("setu4993/LEALLA-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from setu4993/LEALLA-small: direct link, hf CLI and curl.
- Browser
- Download file 276 MB
-
https://huggingface.co/setu4993/LEALLA-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://setu4993/LEALLA-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/setu4993/LEALLA-small/resolve/main/pytorch_model.bin
276 MB
- Xet hash:
- d5c8fb26c55eb3044c45370b75fd8fe3c2528515dad97db126ffb49e70b22ec4
- Size of remote file:
- 276 MB
- SHA256:
- a0538bdfc70de63dab22cf003a7c85721c553e017bb1b40d0139b3edb3b271a6
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