Instructions to use AlanRobotics/rubert-sentence-similarity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanRobotics/rubert-sentence-similarity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlanRobotics/rubert-sentence-similarity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AlanRobotics/rubert-sentence-similarity") model = AutoModelForSequenceClassification.from_pretrained("AlanRobotics/rubert-sentence-similarity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:a0518258e918d977a58290f65b56dc2fe28dd21bebbeedd4722ee719164ed650
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size 711450724
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