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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f5923dbd797f8f312594d8cb8c2104def645f1c75dbdb3c8dcd2db9aa52e3a8
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size 437955512
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