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:
- 181819c2661bba9e4ad3560a11beb77e83dd08e118ae95e0b5bfc0f4db29ea5d
- Size of remote file:
- 536 MB
- SHA256:
- da04f26491008c3247af5449a0b223932f7820513625e83f3654b598be783522
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