Instructions to use rahulkhandelw/TensePrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahulkhandelw/TensePrediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rahulkhandelw/TensePrediction")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rahulkhandelw/TensePrediction") model = AutoModelForTokenClassification.from_pretrained("rahulkhandelw/TensePrediction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7186ca25ea41940f7a44de2e69c73be1c8327154dcfd9b7f975fe287874ccbc
- Size of remote file:
- 265 MB
- SHA256:
- b160efdfa61a85d593f3d3a9f24146717cd0f8fffdabc69f4f85d7f262f86ac9
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