Instructions to use anshr/t5-base_supervised_baseline_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anshr/t5-base_supervised_baseline_01 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anshr/t5-base_supervised_baseline_01") model = AutoModelForSeq2SeqLM.from_pretrained("anshr/t5-base_supervised_baseline_01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b1c2b2afadafef0fae832d7e5a14e0c2e477eb4a673f1b250b46a4735a7c2f6
- Size of remote file:
- 892 MB
- SHA256:
- 377091debf5beeb94870d2e4e8ca4489e7ca848ed1be51a5577f45833194c167
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