Instructions to use rahulkhandelw/NumberPrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahulkhandelw/NumberPrediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rahulkhandelw/NumberPrediction")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rahulkhandelw/NumberPrediction") model = AutoModelForTokenClassification.from_pretrained("rahulkhandelw/NumberPrediction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da5870f8254b27dbf3a42b67109511b96a1a5d90939737f333dba0eaa92d5f80
- Size of remote file:
- 265 MB
- SHA256:
- 426ac3edd480afb7012b677117b156892355da7981fb91cb8c67ed03eae96310
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