Instructions to use alexcruz0202/t5_boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexcruz0202/t5_boolq with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alexcruz0202/t5_boolq") model = AutoModelForSeq2SeqLM.from_pretrained("alexcruz0202/t5_boolq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54933945cf6c9301d3943ba237948cab62b637866e51dcb04577d9a3361afb3f
- Size of remote file:
- 892 MB
- SHA256:
- e0e800b9cb7ae5a8b1f028315114ce189b79a7f9f87aa96fb86ba588fcbaf74f
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