Instructions to use Suva/uptag-keyphrase-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suva/uptag-keyphrase-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Suva/uptag-keyphrase-model") model = AutoModelForSeq2SeqLM.from_pretrained("Suva/uptag-keyphrase-model") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3548b7c6e7b729e09d006886aba69b0eccb0d90340d1828494fab0359ddeb4a2
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size 891700799
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