Sentence Similarity
Transformers
PyTorch
Safetensors
English
bert
feature-extraction
text-embeddings-inference
Instructions to use SAP/miCSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAP/miCSE with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SAP/miCSE") model = AutoModel.from_pretrained("SAP/miCSE") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:66e8a024a6c1ae3f627cb5826b68174474e081fc8ed5fb15502e5750acec5596
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size 437955512
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