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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("LaurentRothuizen/querygenerator") model = AutoModel.from_pretrained("LaurentRothuizen/querygenerator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from LaurentRothuizen/querygenerator: direct link, hf CLI and curl.
- Browser
- Download file 37.7 MB
-
https://huggingface.co/LaurentRothuizen/querygenerator/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://LaurentRothuizen/querygenerator@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/LaurentRothuizen/querygenerator/resolve/refs%2Fpr%2F1/pytorch_model.bin
37.7 MB
- Xet hash:
- 1332841e07708aec091bba6aa07200bbf26af57a3467395becf159c8dc8b15f4
- Size of remote file:
- 37.7 MB
- SHA256:
- b5949a2058edc434fde35824f682e6249fe8bcef9c22a214ba92daeadef52ae3
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