Sentence Similarity
Transformers
PyTorch
TensorFlow
Safetensors
bert
feature-extraction
sentence-embedding
multilingual
text-embeddings-inference
Instructions to use aiana94/NaSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiana94/NaSE with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aiana94/NaSE") model = AutoModel.from_pretrained("aiana94/NaSE") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a8d3e47f37eb198c7daa576b025e217d81ba28c509e29480f9afa975812c2ab
- Size of remote file:
- 1.88 GB
- SHA256:
- 7081a2d5d0cf190eeb742370cf721d506f2ab00d66196b98ad4955518fb481a7
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