Instructions to use karths/binary_classification_train_build with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_build with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_build")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_build") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_build", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from karths/binary_classification_train_build: direct link, hf CLI and curl.
- Browser
- Download file 328 MB
-
https://huggingface.co/karths/binary_classification_train_build/resolve/main/model.safetensors
- Command line
-
hf download hf://karths/binary_classification_train_build/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/karths/binary_classification_train_build/resolve/main/model.safetensors
328 MB
- Xet hash:
- 25110b842c9012e289cbabf3dae352db54c7329839eebc367d6d163658d4349a
- Size of remote file:
- 328 MB
- SHA256:
- 99d90de7783c499123fe65e335d2cde00dd1a30a1100aef423f0e83cfe1db8a6
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