Instructions to use bowphs/lemmatization-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bowphs/lemmatization-demo with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bowphs/lemmatization-demo") model = AutoModelForSeq2SeqLM.from_pretrained("bowphs/lemmatization-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cef29f7d04668cb7e678ced8cb75c8521a05a6e367ff372196983869b7a21bae
- Size of remote file:
- 627 Bytes
- SHA256:
- dc3acd47c1bdf37b1d515454f47bdc2195f4304444d4bbcfebfde1a449fa24a4
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