Instructions to use gngpostalsrvc/binary_COHeN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gngpostalsrvc/binary_COHeN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gngpostalsrvc/binary_COHeN")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gngpostalsrvc/binary_COHeN") model = AutoModelForSequenceClassification.from_pretrained("gngpostalsrvc/binary_COHeN") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8124e232b49b401f64797c47f6a8c3ee84c4932dbd559b3962718febcb92524e
- Size of remote file:
- 3.96 kB
- SHA256:
- 7dbcb124a44fdf2e27fa8c1207e9702a5fb8c4068998690cc7bff6fc467b3ec3
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