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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from setu4993/LEALLA-base: direct link, hf CLI and curl.
- Browser
- Download file 428 MB
-
https://huggingface.co/setu4993/LEALLA-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://setu4993/LEALLA-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/setu4993/LEALLA-base/resolve/main/flax_model.msgpack
428 MB
- Xet hash:
- ba6c5510ca0ae8f98a0a1fe81225b7af6c70be6024517f0d8af3f489b2401757
- Size of remote file:
- 428 MB
- SHA256:
- ba34e247687324cdf54d6c82a8275277f18d4927035135ee5ec3b3819cbb9cc3
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