Instructions to use snrspeaks/KeyPhraseTransformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use snrspeaks/KeyPhraseTransformer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("snrspeaks/KeyPhraseTransformer") model = AutoModelForSeq2SeqLM.from_pretrained("snrspeaks/KeyPhraseTransformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c194af6da47dad1dd4e94b5a4173044aeac47a78200d6480de67708a1776ede
- Size of remote file:
- 892 MB
- SHA256:
- 8c6c6587a8fa1a9702875fd163c48d3dac1c2d56f074b042023906bb6d40edaf
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