Instructions to use PragmaticMachineLearning/name-norm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PragmaticMachineLearning/name-norm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PragmaticMachineLearning/name-norm") model = AutoModelForSeq2SeqLM.from_pretrained("PragmaticMachineLearning/name-norm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5da633a34a1fd3d1e8b89424b28433a6c7c9b417edaae5a5221fd732c3637f37
- Size of remote file:
- 1.2 GB
- SHA256:
- 7a2ee3011af9c24bfd5bce28e1901e3ca6992e9df517172bd9c9bb77266ab623
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