Instructions to use ittailup/tori-namesplitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ittailup/tori-namesplitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ittailup/tori-namesplitter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ittailup/tori-namesplitter") model = AutoModelForTokenClassification.from_pretrained("ittailup/tori-namesplitter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61cac5b2e4a4bc813fbe0b6b37e520ec9298ddba74e9afa79b6bc6f383592932
- Size of remote file:
- 265 MB
- SHA256:
- daefb201e9b8d5d45ca76192ad56a6da904b07670f169a771a7f997eeeaee52d
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