Instructions to use yevhenkost/classifier__generated_data_only__observationsdetection_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__observationsdetection_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__observationsdetection_albert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yevhenkost/classifier__generated_data_only__observationsdetection_albert") model = AutoModelForSequenceClassification.from_pretrained("yevhenkost/classifier__generated_data_only__observationsdetection_albert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdf19069c8c4486b584632008ab9a6f92313ea2fc2a9bba7e9ba5caddeb03503
- Size of remote file:
- 46.8 MB
- SHA256:
- 08ce84702a13be7fd08c0877dd5b1a39090211422dff9d993751ccb2f90a584d
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