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:
- 70e6ec2778ebf530baf4c8fdf598a629ff9249e05095db920ecfcd5842a99d22
- Size of remote file:
- 1.58 GB
- SHA256:
- 2f704d048273cdeac7928fee58187b6d2f64d817fe278cae42f021fb5cf35a69
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