Transformers
PyTorch
Latin
t5
text2text-generation
Medieval Latin
Latin
Lemmatization
text-generation-inference
Instructions to use efontes/efontes-lemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efontes/efontes-lemma with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("efontes/efontes-lemma") model = AutoModelForSeq2SeqLM.from_pretrained("efontes/efontes-lemma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7db2af69820c5e58c7077e38653528cba26068cdb0f350d18ed4bf12e3105467
- Size of remote file:
- 1.2 GB
- SHA256:
- 346a77c06dc024ae89b55aa285234bfa51128d957f85a7a0bb3284ba8237b596
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