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 model.safetensors from karths/binary_classification_train_test: direct link, hf CLI and curl.
- Browser
- Download file 328 MB
-
https://huggingface.co/karths/binary_classification_train_test/resolve/main/model.safetensors
- Command line
-
hf download hf://karths/binary_classification_train_test/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/karths/binary_classification_train_test/resolve/main/model.safetensors
328 MB
- Xet hash:
- ecc8c29416d46a9c3cf3b11f9c8e0b82876ab466b9484f31ec0b25c08d298d10
- Size of remote file:
- 328 MB
- SHA256:
- 0d37925e4c7569eaa55885b61d8eb8595002680af1472fc0205b3e85fe776d15
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