Instructions to use ramsrigouthamg/t5_boolean_questions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ramsrigouthamg/t5_boolean_questions with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ramsrigouthamg/t5_boolean_questions") model = AutoModelForSeq2SeqLM.from_pretrained("ramsrigouthamg/t5_boolean_questions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2f90c9415d86cfff6365beaf36e6798f50718e3e06fe959cde2f99cc4c35456
- Size of remote file:
- 892 MB
- SHA256:
- 1ce39e8368ed5b320c1e62c20269634c66d2ce8688bb3c78fbea9b04a88424fd
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