Instructions to use yevhenkost/classifier__generated_data_only__purposesdetection_albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yevhenkost/classifier__generated_data_only__purposesdetection_albert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yevhenkost/classifier__generated_data_only__purposesdetection_albert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yevhenkost/classifier__generated_data_only__purposesdetection_albert") model = AutoModelForSequenceClassification.from_pretrained("yevhenkost/classifier__generated_data_only__purposesdetection_albert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f808f5dc97e9d579c5edfbf3f3e5967a838a6800b022b85deb11ecdc81e07624
- Size of remote file:
- 46.8 MB
- SHA256:
- 39b6e73c0d05d82aab22174ff1c4f01ef8340eb34e8df732b8cb0f5bd645ea92
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