Instructions to use Chaeeun-Kim/L_pretrain_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chaeeun-Kim/L_pretrain_large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Chaeeun-Kim/L_pretrain_large") model = AutoModelForSeq2SeqLM.from_pretrained("Chaeeun-Kim/L_pretrain_large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57de082b902df8c5990e484b1f040ddaa616c2bef6663319ec264522ef744613
- Size of remote file:
- 4.92 GB
- SHA256:
- dae8d41d26781cebf7cd3b216fa0b6bf76645b8df6501d420a8cfef46cda5183
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