Transformers
PyTorch
Safetensors
Polish
t5
text2text-generation
T5
lemmatization
text-generation-inference
Instructions to use amu-cai/polemma-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amu-cai/polemma-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amu-cai/polemma-base") model = AutoModelForSeq2SeqLM.from_pretrained("amu-cai/polemma-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 505e96eb04f3745745c208569b71a397da33364e9dc9010229d2808c49da9b78
- Size of remote file:
- 1.1 GB
- SHA256:
- 7835279333d28fbabe73f1f5a75f64baac7357a57efd1d2b7e46d4c2f85de37e
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