Instructions to use roval15/t5_for_translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roval15/t5_for_translation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("roval15/t5_for_translation") model = AutoModelForSeq2SeqLM.from_pretrained("roval15/t5_for_translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25b2225997af8352881d6ff98f56e6bd8266b14cb0586ede3fd22afe19256052
- Size of remote file:
- 5.05 kB
- SHA256:
- 7543ebbe2a209ef4eb66148ff3862f5c654d5795915482af1e303ef0f11de1b7
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