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:
- f6fd20c11e9d27564854116d402bd1a32003d0d2e746fe2a0d8e7bf028b12add
- Size of remote file:
- 265 MB
- SHA256:
- e89feb16a7c6d240fec07e198bdd1a31ab9186e7d9050bc4da6f2264dd5365fc
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