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:
- 16dc7441ed9a8f5c36eebf1e0945cb28db1fc87ad86e9b6e1f3705bb76d6373e
- Size of remote file:
- 3.96 kB
- SHA256:
- fb6fc2e0f303fd4d62f3671fd9f3222e459e5fafa471870f7f5548352691370a
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