Transformers
PyTorch
Safetensors
Turkish
English
t5
text2text-generation
mt5
text-generation-inference
turkish
Instructions to use bonur/t5-base-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bonur/t5-base-tr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bonur/t5-base-tr") model = AutoModelForSeq2SeqLM.from_pretrained("bonur/t5-base-tr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eea6ac4b5bcf9f66233cb1a6e8af621040f2030d3ea2b3a3efbd0b30966df853
- Size of remote file:
- 916 MB
- SHA256:
- a3b75e0d3c45f87428e304f849c00927149cc1c0e37d4bff632ec244d1e0291e
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