Instructions to use rahulkhandelw/NumberPredictionHindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahulkhandelw/NumberPredictionHindi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rahulkhandelw/NumberPredictionHindi")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rahulkhandelw/NumberPredictionHindi") model = AutoModelForTokenClassification.from_pretrained("rahulkhandelw/NumberPredictionHindi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37de2d0591bd392660a765a027c9100e6237661fe5b11c44e4c7170222521ae3
- Size of remote file:
- 948 MB
- SHA256:
- dc881a3e0c05661489e11ed89a1872721106c878da40b20e068cac3011d6d0bc
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