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
Remove path from `config.json`
Browse files- config.json +1 -4
config.json
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{
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"
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"architectures": [
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"BertModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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{
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"architectures": ["BertModel"],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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