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:
- ea18b6a77d1af02c519762ad85f373a2c340555fc0612680542fa085b9713307
- Size of remote file:
- 594 MB
- SHA256:
- ab6afacded1d14daeabb69b776bd17034eb506ce25f9b74103bf30d5d5b93897
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