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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Chaeeun-Kim/L_pretrain_large: direct link, hf CLI and curl.
- Browser
- Download file 4.92 GB
-
https://huggingface.co/Chaeeun-Kim/L_pretrain_large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Chaeeun-Kim/L_pretrain_large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Chaeeun-Kim/L_pretrain_large/resolve/main/pytorch_model.bin
4.92 GB
- Xet hash:
- 57de082b902df8c5990e484b1f040ddaa616c2bef6663319ec264522ef744613
- Size of remote file:
- 4.92 GB
- SHA256:
- dae8d41d26781cebf7cd3b216fa0b6bf76645b8df6501d420a8cfef46cda5183
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