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:
- 5dd3ae7b7f3beac22049985afd4e784b608356e8f8ec31562ac7977103d44efd
- Size of remote file:
- 5.67 MB
- SHA256:
- 20dfa905413a8c627217ba458f47eede10a9566a5f70243db41f4193d8ee86b4
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