Instructions to use Srish117/First_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Srish117/First_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Srish117/First_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Srish117/First_model") model = AutoModelForSequenceClassification.from_pretrained("Srish117/First_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5711dc8ece7d37e0c524a85c287e0eddc0d8429ea6e87fa8beea59017136e951
- Size of remote file:
- 433 MB
- SHA256:
- 26894c28d18e9361fe9bd5adaee46fe90e1cb472857f0d50d3efd4bb4022a72f
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