Instructions to use Amite5h/FakeorReal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amite5h/FakeorReal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Amite5h/FakeorReal")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Amite5h/FakeorReal") model = AutoModelForSequenceClassification.from_pretrained("Amite5h/FakeorReal") - Notebooks
- Google Colab
- Kaggle
model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:20def2b6f5c95406df9024a0332a2e273378aa06140d56d8557aaff14030f7f0
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size 498657517
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