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:
# pip install -U transformers accelerate # 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
Download pytorch_model.bin from bowphs/lemmatization-demo: direct link, hf CLI and curl.
- Browser
- Download file 1.57 GB
-
https://huggingface.co/bowphs/lemmatization-demo/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://bowphs/lemmatization-demo@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bowphs/lemmatization-demo/resolve/refs%2Fpr%2F1/pytorch_model.bin
1.57 GB
- Xet hash:
- 63189c27edb09d627c1c6b12f7355df2e43113e6c938bf6bb4cc494f1220b93e
- Size of remote file:
- 1.57 GB
- SHA256:
- abcf7f71d1444fe501bcbf7ad1de6db3e22f07937f1643b317821791cbf20f3a
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