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 special_tokens_map.json from setu4993/LEALLA-base: direct link, hf CLI and curl.
- Browser
- Download file 125 Bytes
-
https://huggingface.co/setu4993/LEALLA-base/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://setu4993/LEALLA-base/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/setu4993/LEALLA-base/resolve/main/special_tokens_map.json
125 Bytes
| { | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |