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:
- bffb7cf2db159ff18d31bac4808652862c133e395f419246e3240e92bdf4284b
- Size of remote file:
- 3.58 kB
- SHA256:
- b74cf7d6d8765c5031275df93358db82f19f4b4bc4334e0e6d86f247da047f64
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