Instructions to use aswinsson/fake_new_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aswinsson/fake_new_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aswinsson/fake_new_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aswinsson/fake_new_classifier") model = AutoModelForSequenceClassification.from_pretrained("aswinsson/fake_new_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c79efdcd0caf9bfde38b31e53043ad8c140cbe49d99db9c873a7ca5a412be34
- Size of remote file:
- 268 MB
- SHA256:
- 418f5842fd5fb2afbc05f7f65af2229e9bb787c186d450091cd5369a70032316
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