Instructions to use helliun/query2target with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/query2target with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="helliun/query2target")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("helliun/query2target") model = AutoModel.from_pretrained("helliun/query2target") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdcc9911b304995dd384f93297322343ed49dbf39c1af0a3455e1fc000d6cabc
- Size of remote file:
- 438 MB
- SHA256:
- 3d3b244e9aa89ba7fc404efc55f028fa459f539d49ee8e503ed812197305dae4
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