Instructions to use rbroc/contrastive-user-encoder-singlepost with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rbroc/contrastive-user-encoder-singlepost with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rbroc/contrastive-user-encoder-singlepost")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rbroc/contrastive-user-encoder-singlepost") model = AutoModel.from_pretrained("rbroc/contrastive-user-encoder-singlepost") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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library_name: transformers
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- feature extraction
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### Contrastive user encoder (single post)
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license: apache-2.0
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library_name: transformers
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---
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### Contrastive user encoder (single post)
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