Instructions to use Seungjun/textGeneration_03_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Seungjun/textGeneration_03_01 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Seungjun/textGeneration_03_01") model = AutoModelForSeq2SeqLM.from_pretrained("Seungjun/textGeneration_03_01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2721191560fa3901e449fbbf7b2297a1b8f93d6d89e855975873cc56cf49f3e4
- Size of remote file:
- 4.09 kB
- SHA256:
- 273d16c6545f090d18dc6744413cdde63cade32a37d5d04aa186d080f519d000
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.