Instructions to use rahulkhandelw/PersonPrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahulkhandelw/PersonPrediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rahulkhandelw/PersonPrediction")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rahulkhandelw/PersonPrediction") model = AutoModelForTokenClassification.from_pretrained("rahulkhandelw/PersonPrediction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 345a88140edaaf7358497ee2e5fe36e69725fd66d946eb5743b28901f52b6a3a
- Size of remote file:
- 3.9 kB
- SHA256:
- 4c7ff6e1442729d86cfeab436c9ab49b824a9f56958f58caae887f0a24179158
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