Instructions to use fakespot-ai/roberta-base-ai-text-detection-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fakespot-ai/roberta-base-ai-text-detection-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fakespot-ai/roberta-base-ai-text-detection-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fakespot-ai/roberta-base-ai-text-detection-v1") model = AutoModelForSequenceClassification.from_pretrained("fakespot-ai/roberta-base-ai-text-detection-v1", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 678e16591b799c3867fe857185ebf48ba36decc890e34ca988295d2279d25c6f
- Size of remote file:
- 5.24 kB
- SHA256:
- 22a1d8262404d459ac805c652c9b1c7b4f04481defe45a801fc449884f996ef3
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