Instructions to use yevhenkost/classifier__generated_data_only__meansdetection_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__meansdetection_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__meansdetection_albert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yevhenkost/classifier__generated_data_only__meansdetection_albert") model = AutoModelForSequenceClassification.from_pretrained("yevhenkost/classifier__generated_data_only__meansdetection_albert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80e99e6e8349ffa5aa3c201c7de1732ff8b6f2fe9bd6d15449cb52a090b06d5b
- Size of remote file:
- 46.8 MB
- SHA256:
- 7097c8937e02f3b3d6261b1e23f23d1bf5b58f9fc553cc2dfff2c6d1a9b09339
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