Instructions to use enelpol/evalatin2022-lemma-closed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enelpol/evalatin2022-lemma-closed with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("enelpol/evalatin2022-lemma-closed") model = AutoModelForSeq2SeqLM.from_pretrained("enelpol/evalatin2022-lemma-closed") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Input have to be constructed with prefix ": ", a word form, the colon and a POS, e.g.: : effugere:VERB.
- Downloads last month
- 7
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support