Instructions to use frankmorales2020/kkadian-to-spanish-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frankmorales2020/kkadian-to-spanish-translator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("frankmorales2020/kkadian-to-spanish-translator") model = AutoModelForSeq2SeqLM.from_pretrained("frankmorales2020/kkadian-to-spanish-translator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4657cbabc61af37d27c2955ee6ff2161a988723b08e6813b2b8c561c9b72f7f4
- Size of remote file:
- 17.1 MB
- SHA256:
- 5de16ad4be08f588a5866862926e11841b48d04fce7b0ec05bb65f219ce0cb38
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.