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:
- 5d7bb8ab8d6eca8551d9f5c38d935172361215f65710dba7062b1f629ab7e0c3
- Size of remote file:
- 3.32 kB
- SHA256:
- b67af31ad6d9a906dd89be4a5fcd27d54fee92db96ceaa6847d8fe94de3aee4a
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