Instructions to use AnonymousSub/unsup-consert-papers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/unsup-consert-papers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/unsup-consert-papers")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/unsup-consert-papers") model = AutoModel.from_pretrained("AnonymousSub/unsup-consert-papers") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed60697881f2f42ad90cd837636a307fc150c8e88bd0f6cac29c453e6a4a50bd
- Size of remote file:
- 440 MB
- SHA256:
- e31a3bb599bbf321b7e8b5f7b7f5bb559cd3e3e856631833f48cf38af7a92d59
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