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:
- ca1302699f82e825ad98897b233fbdbde3221ae59f3df6fc13fc7c5b7087a3cf
- Size of remote file:
- 3.9 kB
- SHA256:
- 36e2029360facd613e7408e6a2cd63c5d9f8de76d07eb5c4add91465c08c63b1
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