Instructions to use karths/binary_classification_train_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_test") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from karths/binary_classification_train_test: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/karths/binary_classification_train_test/resolve/main/training_args.bin
- Command line
-
hf download hf://karths/binary_classification_train_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/karths/binary_classification_train_test/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 497020ceea11d6439e1bf321bd284dd9b18278990b58f3b37822376a6ae39676
- Size of remote file:
- 4.66 kB
- SHA256:
- d95243397dbb895865e579fdfffc58329ecc64d950e305045a610cbcdc526fc7
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