Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use harun27/overall_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harun27/overall_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harun27/overall_binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harun27/overall_binary") model = AutoModelForSequenceClassification.from_pretrained("harun27/overall_binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c59f48966b2cbff4a2050b4aef6bfb7883d6c2f8234be77c2126e1dcc2e27e0
- Size of remote file:
- 5.37 kB
- SHA256:
- 534d79ed813d6aaa7cebb212b07b92f7d9f1e502aaefcaeff76cfd5fa76c9e61
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