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
File size: 135 Bytes
dc773ea | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7835279333d28fbabe73f1f5a75f64baac7357a57efd1d2b7e46d4c2f85de37e
size 1100509365
|