Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use harun27/binary_paragraph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harun27/binary_paragraph with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harun27/binary_paragraph")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harun27/binary_paragraph") model = AutoModelForSequenceClassification.from_pretrained("harun27/binary_paragraph") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f37f796e8a0e35cbde75e57bb1747544ce846d666e437b6a963871bb0ca6ca89
- Size of remote file:
- 5.37 kB
- SHA256:
- 9b3bff0e0dda161b29776c8569081fc20577755c362dbb58660cb5ff17c1036e
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