Instructions to use Roasters/Boolean-Questions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roasters/Boolean-Questions with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Roasters/Boolean-Questions") model = AutoModelForSeq2SeqLM.from_pretrained("Roasters/Boolean-Questions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Roasters/Boolean-Questions: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Roasters/Boolean-Questions/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Roasters/Boolean-Questions@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Roasters/Boolean-Questions/resolve/refs%2Fpr%2F1/pytorch_model.bin
892 MB
- Xet hash:
- d2f90c9415d86cfff6365beaf36e6798f50718e3e06fe959cde2f99cc4c35456
- Size of remote file:
- 892 MB
- SHA256:
- 1ce39e8368ed5b320c1e62c20269634c66d2ce8688bb3c78fbea9b04a88424fd
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