Instructions to use karths/binary_classification_train_reli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_reli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_reli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_reli") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_reli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63943df41fe0876b6b9a61cb62cf67d16b3dd47524b8b488288ae62c889eee63
- Size of remote file:
- 328 MB
- SHA256:
- b5d5ab69550e5ac79424dd51c00e0698d24a72dbba6c1abb3277f2657d120dd3
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