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:
- ffa0cdd6eeae79432ee254b9d12a04fef2d80a7ac4e167dfbad4f46c9dab9d72
- Size of remote file:
- 3.89 kB
- SHA256:
- ec2a29e1b55066a910162daa9955281aa325d890120bc0c79661b3fd9d67f71c
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