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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c6c16ff712ce982249f7f8405f57c4148671328b3fa0efba52f7cf1eadc0900
- Size of remote file:
- 438 MB
- SHA256:
- 8f5923dbd797f8f312594d8cb8c2104def645f1c75dbdb3c8dcd2db9aa52e3a8
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