Instructions to use LaurentRothuizen/querygenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LaurentRothuizen/querygenerator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LaurentRothuizen/querygenerator")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("LaurentRothuizen/querygenerator") model = AutoModel.from_pretrained("LaurentRothuizen/querygenerator") - 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 sha256:54a9e88a68f0fe0bb49bcf8c83db2139419aed9663094e83907e0cba808ce991
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size 37691486
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