Instructions to use algoprog/mimics-query-facet-encoder-mpnet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use algoprog/mimics-query-facet-encoder-mpnet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="algoprog/mimics-query-facet-encoder-mpnet-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("algoprog/mimics-query-facet-encoder-mpnet-base") model = AutoModel.from_pretrained("algoprog/mimics-query-facet-encoder-mpnet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ff3d8db8c2f674a31b5d0b235603d9282ce6dea6544ef92584c821764e86a02
- Size of remote file:
- 438 MB
- SHA256:
- 97a701e63e759bcabcbc99648bf67326220c6d321bdd7bb1920c5f9f24af1275
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