Text Classification
Transformers
PyTorch
English
deberta-v2
Trained with AutoTrain
text-embeddings-inference
Instructions to use yigitkucuk/Epironica with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yigitkucuk/Epironica with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yigitkucuk/Epironica")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yigitkucuk/Epironica") model = AutoModelForSequenceClassification.from_pretrained("yigitkucuk/Epironica", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7957eb3f199b75a4761d6bd8faa1d31289e63422affa66897445fff5be2ce39
- Size of remote file:
- 738 MB
- SHA256:
- af8c440f2496487761efbf6cbfea6e7eca44c6d1cfa57969e88bc768cb5df4de
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