Instructions to use karths/binary_classification_train_documentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_documentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_documentation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_documentation") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_documentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download test_top_repo_data.csv from karths/binary_classification_train_documentation: direct link, hf CLI and curl.
- Browser
- Download file 8 MB
-
https://huggingface.co/karths/binary_classification_train_documentation/resolve/main/test_top_repo_data.csv
- Command line
-
hf download hf://karths/binary_classification_train_documentation/test_top_repo_data.csv
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curl -L -o test_top_repo_data.csv https://huggingface.co/karths/binary_classification_train_documentation/resolve/main/test_top_repo_data.csv
8 MB
File too large to display, you can check the raw version instead.