Instructions to use Chaeeun-Kim/L_subset_pretrain_encdec_shuffle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chaeeun-Kim/L_subset_pretrain_encdec_shuffle with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Chaeeun-Kim/L_subset_pretrain_encdec_shuffle") model = AutoModelForSeq2SeqLM.from_pretrained("Chaeeun-Kim/L_subset_pretrain_encdec_shuffle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce17e8371b7d471c5a30b3fc9815be3e428ac568f6eee2908ab1349d7fd68aeb
- Size of remote file:
- 16.3 MB
- SHA256:
- 0568cbab8bb0c4a13e8086fe8e77b7cfd62fdb1cde1825c63111848cdb9a558b
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