Instructions to use thrunlab/t5-base_cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thrunlab/t5-base_cola with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("thrunlab/t5-base_cola") model = AutoModelForSeq2SeqLM.from_pretrained("thrunlab/t5-base_cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f771cda44a5fa8b52cbae32337338b9ea7556700a32217e01c8642c7ac31755
- Size of remote file:
- 5.37 kB
- SHA256:
- 31629b6b44883f9dee6b7fd3614a85948d54f71988350b74514ab81ff9fe56a4
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