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 optimizer.pt from bowphs/lemmatization-demo: direct link, hf CLI and curl.
- Browser
- Download file 3.14 GB
-
https://huggingface.co/bowphs/lemmatization-demo/resolve/main/optimizer.pt
- Command line
-
hf download hf://bowphs/lemmatization-demo/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/bowphs/lemmatization-demo/resolve/main/optimizer.pt
3.14 GB
- Xet hash:
- aed1cfb6604a184f5792325e7239aa972a32f951ed66a4b23b827edc7e52204f
- Size of remote file:
- 3.14 GB
- SHA256:
- 900c8b180cf08b250119116133d0fe769fa9d5bd027c22db60423d7d44b4732f
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