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:
- a35c19435067e16824c8cd663d4210da6278a3f4f75690860eb6424bbd3db22d
- Size of remote file:
- 3.9 kB
- SHA256:
- 9a0db25f459cf8350f651bcaba15d135892bda984110cd1504465539c8bc3538
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