Instructions to use liddlefish/PrivacyEmbedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liddlefish/PrivacyEmbedder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="liddlefish/PrivacyEmbedder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("liddlefish/PrivacyEmbedder") model = AutoModel.from_pretrained("liddlefish/PrivacyEmbedder") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8bba109060f8f5c4e2e3bff447c3b78750e13bf3272ce89f1aa0cace7a593ff4
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